ADNI enrollment summaries using the ADNIMERGE R package

Description

This package vignette demonstrates how to use the ADNIMERGE package to generate simple enrollment and longitudinal summaries and plots with R and knitr.

Report generated from Enrollment.Rmd

Load required R packages and functions

options(digits = 3)
library(knitr)
library(ADNIMERGE)
library(ggplot2)
library(Hmisc)
library(gridExtra)
library(RColorBrewer)
source("https://adni.bitbucket.io/myfunctions.R")
theme_set(theme_bw())

dd <- adnimerge
dd$AGEC <- cut(dd$AGE, breaks = seq(39, 110, by = 10))

label(dd$PTEDUCAT) <- "Education"
label(dd$AGE) <- "Age"
label(dd$AGEC) <- "Age"
label(dd$PTGENDER) <- "Sex"
label(dd$PTETHCAT) <- "Ethnicity"
label(dd$PTRACCAT) <- "Race"
label(dd$PTMARRY) <- "Marital"
label(dd$CDRSB) <- "CDR-SB"
label(dd$ADAS11) <- "ADAS 11"
label(dd$ADAS13) <- "ADAS 13"
label(dd$MMSE) <- "MMSE"

# indicate the bl withdrawals:
BLTDS <- subset(treatdis, VISCODE == "bl" & WDRAWTYPE == "Full")$RID
dd$VISCODE <- with(dd, ifelse(VISCODE == "bl" & RID %in% BLTDS, "blwd", VISCODE))

Demographic Summaries by Diagnosis

Baseline

# Subsetting on RID < 2000 excludes ADNIGO/2 subjects
summary(DX.bl ~ AGE + AGEC + PTGENDER + PTEDUCAT + PTMARRY + PTETHCAT + PTRACCAT + 
    CDRSB + ADAS13 + MMSE, data = dd, subset = VISCODE %in% c("bl", "blwd"), method = "reverse", 
    test = TRUE, overall = TRUE)

Descriptive Statistics by Baseline Dx

	N	CN (N=531)	SMC (N=316)	EMCI (N=408)	LMCI (N=665)	AD (N=406)	Combined (N=2326)	Test Statistic
Age [Years]	2347	`69.8/73.2/77.6`	`66.7/69.9/75.7`	`65.8/71.5/76.4`	`69.2/74.3/79.2`	`70.5/75.3/80.3`	`68.1/73.1/78.2`	F=22.9 d.f.=4,2317 P<0.001
Age : (39,49]	2346	`0% ( 0)`	`0% ( 0)`	`0% ( 0)`	`0% ( 0)`	`0% ( 0)`	`0% ( 0)`	Chi-square=167 d.f.=16 P<0.001
(49,59]		`1% ( 7)`	`2% ( 6)`	`4% ( 17)`	`3% ( 21)`	`4% ( 17)`	`3% ( 68)`
(59,69]		`20% ( 104)`	`42% ( 133)`	`36% ( 145)`	`21% ( 139)`	`17% ( 67)`	`25% ( 588)`
(69,79]		`61% ( 323)`	`45% ( 141)`	`44% ( 179)`	`49% ( 327)`	`47% ( 190)`	`50% (1160)`
(79,89]		`18% ( 95)`	`10% ( 32)`	`16% ( 64)`	`26% ( 172)`	`31% ( 125)`	`21% ( 488)`
(89,99]		`0% ( 1)`	`1% ( 4)`	`0% ( 1)`	`1% ( 4)`	`2% ( 7)`	`1% ( 17)`
(99,109]		`0% ( 0)`	`0% ( 0)`	`0% ( 0)`	`0% ( 0)`	`0% ( 0)`	`0% ( 0)`
Sex : Male	2351	`47% ( 251)`	`39% ( 123)`	`55% ( 226)`	`61% ( 407)`	`56% ( 229)`	`53% (1236)`	Chi-square=52.9 d.f.=4 P<0.001
Education	2351	`14/16/18`	`16/17/18`	`14/16/18`	`14/16/18`	`13/16/17`	`14/16/18`	F=16.9 d.f.=4,2321 P<0.001
Marital : Divorced	2351	`11% ( 56)`	`13% ( 41)`	`11% ( 45)`	`8% ( 54)`	`3% ( 14)`	`9% ( 210)`	Chi-square=67.6 d.f.=16 P<0.001
Married		`69% ( 367)`	`71% ( 225)`	`78% ( 317)`	`78% ( 519)`	`84% ( 343)`	`76% (1771)`
Never married		`5% ( 29)`	`5% ( 16)`	`4% ( 16)`	`2% ( 13)`	`2% ( 10)`	`4% ( 84)`
Unknown		`0% ( 1)`	`0% ( 1)`	`1% ( 4)`	`0% ( 2)`	`0% ( 0)`	`0% ( 8)`
Widowed		`15% ( 78)`	`10% ( 33)`	`6% ( 26)`	`12% ( 77)`	`10% ( 39)`	`11% ( 253)`
Ethnicity : Unknown	2351	`0% ( 2)`	`1% ( 2)`	`0% ( 2)`	`0% ( 3)`	`1% ( 3)`	`1% ( 12)`	Chi-square=5.89 d.f.=8 P=0.66
Not Hisp/Latino		`95% ( 504)`	`94% ( 297)`	`94% ( 384)`	`96% ( 641)`	`96% ( 389)`	`95% (2215)`
Hisp/Latino		`5% ( 25)`	`5% ( 17)`	`5% ( 22)`	`3% ( 21)`	`3% ( 14)`	`4% ( 99)`
Race : Am Indian/Alaskan	2351	`0% ( 2)`	`0% ( 0)`	`0% ( 2)`	`0% ( 1)`	`0% ( 0)`	`0% ( 5)`	Chi-square=61.9 d.f.=24 P<0.001
Asian		`2% ( 10)`	`4% ( 14)`	`1% ( 6)`	`2% ( 12)`	`2% ( 10)`	`2% ( 52)`
Hawaiian/Other PI		`0% ( 0)`	`0% ( 0)`	`0% ( 1)`	`0% ( 1)`	`0% ( 0)`	`0% ( 2)`
Black		`8% ( 41)`	`9% ( 27)`	`3% ( 12)`	`5% ( 30)`	`5% ( 19)`	`6% ( 129)`
White		`90% ( 476)`	`83% ( 263)`	`92% ( 375)`	`93% ( 616)`	`92% ( 373)`	`90% (2103)`
More than one		`0% ( 2)`	`3% ( 10)`	`2% ( 8)`	`0% ( 3)`	`1% ( 4)`	`1% ( 27)`
Unknown		`0% ( 0)`	`1% ( 2)`	`1% ( 4)`	`0% ( 2)`	`0% ( 0)`	`0% ( 8)`
CDR-SB	2351	`0.0/0.0/0.0`	`0.0/0.0/0.0`	`0.5/1.0/2.0`	`1.0/1.5/2.0`	`3.5/4.5/5.0`	`0.0/1.0/2.0`	F=3013 d.f.=4,2321 P<0.001
ADAS 13	2327	`5.67/ 9.00/12.00`	`5.33/ 8.00/11.67`	`9.00/12.00/16.00`	`14.00/18.33/23.00`	`24.00/29.33/35.00`	`9.00/14.00/21.67`	F=814 d.f.=4,2300 P<0.001
MMSE	2351	`29/29/30`	`29/29/30`	`28/29/29`	`26/27/29`	`21/23/25`	`26/28/29`	F=618 d.f.=4,2321 P<0.001

Demographic Summaries by Diagnosis

Baseline

# Subsetting on RID > 2000 excludes ADNI1 subjects
summary(DX.bl ~ AGE + AGEC + PTGENDER + PTEDUCAT + PTMARRY + PTETHCAT + PTRACCAT + 
    CDRSB + ADAS13 + MMSE, data = dd, subset = VISCODE == "bl", method = "reverse", 
    test = TRUE, overall = TRUE)

Descriptive Statistics by Baseline Dx

	N	CN (N=524)	SMC (N=313)	EMCI (N=397)	LMCI (N=653)	AD (N=396)	Combined (N=2283)	Test Statistic
Age [Years]	2304	`69.8/73.2/77.5`	`66.7/69.9/75.7`	`66.0/71.5/76.4`	`69.2/74.3/79.2`	`70.4/75.3/80.3`	`68.1/73.0/78.2`	F=21.9 d.f.=4,2274 P<0.001
Age : (39,49]	2303	`0% ( 0)`	`0% ( 0)`	`0% ( 0)`	`0% ( 0)`	`0% ( 0)`	`0% ( 0)`	Chi-square=163 d.f.=16 P<0.001
(49,59]		`1% ( 7)`	`2% ( 6)`	`4% ( 16)`	`3% ( 20)`	`4% ( 17)`	`3% ( 66)`
(59,69]		`20% ( 102)`	`42% ( 132)`	`35% ( 140)`	`21% ( 137)`	`16% ( 65)`	`25% ( 576)`
(69,79]		`61% ( 319)`	`44% ( 139)`	`45% ( 176)`	`49% ( 322)`	`47% ( 186)`	`50% (1142)`
(79,89]		`18% ( 94)`	`10% ( 32)`	`16% ( 62)`	`26% ( 168)`	`31% ( 121)`	`21% ( 477)`
(89,99]		`0% ( 1)`	`1% ( 4)`	`0% ( 1)`	`1% ( 4)`	`2% ( 7)`	`1% ( 17)`
(99,109]		`0% ( 0)`	`0% ( 0)`	`0% ( 0)`	`0% ( 0)`	`0% ( 0)`	`0% ( 0)`
Sex : Male	2308	`48% ( 249)`	`39% ( 121)`	`56% ( 222)`	`61% ( 401)`	`57% ( 224)`	`53% (1217)`	Chi-square=54 d.f.=4 P<0.001
Education	2308	`14.0/16.0/18.0`	`16.0/17.0/18.0`	`14.0/16.0/18.0`	`14.0/16.0/18.0`	`13.0/16.0/17.2`	`14.0/16.0/18.0`	F=16.4 d.f.=4,2278 P<0.001
Marital : Divorced	2308	`10% ( 55)`	`13% ( 41)`	`11% ( 43)`	`8% ( 54)`	`4% ( 14)`	`9% ( 207)`	Chi-square=66.4 d.f.=16 P<0.001
Married		`69% ( 364)`	`72% ( 224)`	`78% ( 311)`	`78% ( 509)`	`84% ( 334)`	`76% (1742)`
Never married		`5% ( 28)`	`5% ( 16)`	`4% ( 15)`	`2% ( 12)`	`3% ( 10)`	`4% ( 81)`
Unknown		`0% ( 1)`	`0% ( 1)`	`1% ( 4)`	`0% ( 2)`	`0% ( 0)`	`0% ( 8)`
Widowed		`15% ( 76)`	`10% ( 31)`	`6% ( 24)`	`12% ( 76)`	`10% ( 38)`	`11% ( 245)`
Ethnicity : Unknown	2308	`0% ( 2)`	`1% ( 2)`	`1% ( 2)`	`0% ( 3)`	`1% ( 3)`	`1% ( 12)`	Chi-square=6.44 d.f.=8 P=0.598
Not Hisp/Latino		`95% ( 497)`	`94% ( 294)`	`94% ( 374)`	`96% ( 630)`	`96% ( 380)`	`95% (2175)`
Hisp/Latino		`5% ( 25)`	`5% ( 17)`	`5% ( 21)`	`3% ( 20)`	`3% ( 13)`	`4% ( 96)`
Race : Am Indian/Alaskan	2308	`0% ( 2)`	`0% ( 0)`	`1% ( 2)`	`0% ( 1)`	`0% ( 0)`	`0% ( 5)`	Chi-square=62.3 d.f.=24 P<0.001
Asian		`2% ( 10)`	`4% ( 14)`	`2% ( 6)`	`2% ( 12)`	`3% ( 10)`	`2% ( 52)`
Hawaiian/Other PI		`0% ( 0)`	`0% ( 0)`	`0% ( 1)`	`0% ( 1)`	`0% ( 0)`	`0% ( 2)`
Black		`8% ( 41)`	`9% ( 27)`	`3% ( 11)`	`4% ( 29)`	`5% ( 19)`	`6% ( 127)`
White		`90% ( 469)`	`83% ( 260)`	`92% ( 366)`	`93% ( 605)`	`92% ( 363)`	`90% (2063)`
More than one		`0% ( 2)`	`3% ( 10)`	`2% ( 7)`	`0% ( 3)`	`1% ( 4)`	`1% ( 26)`
Unknown		`0% ( 0)`	`1% ( 2)`	`1% ( 4)`	`0% ( 2)`	`0% ( 0)`	`0% ( 8)`
CDR-SB	2308	`0.0/0.0/0.0`	`0.0/0.0/0.0`	`0.5/1.0/2.0`	`1.0/1.5/2.0`	`3.5/4.5/5.0`	`0.0/1.0/2.0`	F=2987 d.f.=4,2278 P<0.001
ADAS 13	2288	`5.67/ 9.00/12.00`	`5.33/ 8.00/11.67`	`9.00/12.00/16.00`	`13.75/18.67/23.25`	`24.00/29.33/34.67`	`8.92/14.00/21.67`	F=794 d.f.=4,2261 P<0.001
MMSE	2308	`29/29/30`	`29/29/30`	`28/29/29`	`26/27/29`	`21/23/25`	`26/28/29`	F=600 d.f.=4,2278 P<0.001

Baseline box plots

dd1 <- subset(dd, VISCODE == "bl" & !is.na(DX.bl), c("RID", "DX.bl", "ADAS13", "CDRSB", 
    "MMSE", "EcogPtMem", "EcogSPMem", "EcogPtTotal", "EcogSPTotal"))
ggplot(dd1, aes(DX.bl, ADAS13)) + geom_boxplot(aes(fill = DX.bl), outlier.shape = NA) + 
    geom_jitter(size = 1, position = position_jitter(h = 0)) + theme(legend.position = "none")

ggplot(dd1, aes(DX.bl, MMSE)) + geom_boxplot(aes(fill = DX.bl), outlier.shape = NA) + 
    geom_jitter(size = 1, position = position_jitter(h = 0)) + theme(legend.position = "none")

ggplot(dd1, aes(DX.bl, CDRSB)) + geom_boxplot(aes(fill = DX.bl), outlier.shape = NA) + 
    geom_jitter(size = 1, position = position_jitter(h = 0)) + theme(legend.position = "none")

ggplot(dd1, aes(DX.bl, EcogPtMem)) + geom_boxplot(aes(fill = DX.bl), outlier.shape = NA) + 
    geom_jitter(size = 1, position = position_jitter(h = 0)) + theme(legend.position = "none") + 
    ylab("ECog Self Memory")

ggplot(dd1, aes(DX.bl, EcogSPMem)) + geom_boxplot(aes(fill = DX.bl), outlier.shape = NA) + 
    geom_jitter(size = 1, position = position_jitter(h = 0)) + theme(legend.position = "none") + 
    ylab("ECog Partner Memory")

ggplot(dd1, aes(DX.bl, EcogPtTotal)) + geom_boxplot(aes(fill = DX.bl), outlier.shape = NA) + 
    geom_jitter(size = 1, position = position_jitter(h = 0)) + theme(legend.position = "none") + 
    ylab("ECog Self Total")

ggplot(dd1, aes(DX.bl, EcogSPTotal)) + geom_boxplot(aes(fill = DX.bl), outlier.shape = NA) + 
    geom_jitter(size = 1, position = position_jitter(h = 0)) + theme(legend.position = "none") + 
    ylab("ECog Partner Total")

Baseline summary statistics

cols <- c("ADAS13", "MMSE", "CDRSB", "EcogPtMem", "EcogPtTotal", "EcogSPTotal")
for (cc in cols) {
    dd1$x <- dd1[, cc]
    tab <- with(dd1, Hmisc::summarize(x, by = DX.bl, FUN = summary.default, stat.name = "N"))
    cat("\n### ", label(dd1[, cc]), "\n")
    rownames(tab) <- tab[, 1]
    kable(tab[, -1])
}


###  ADAS 13 

###  MMSE 

###  CDR-SB 

###  Pt ECog - Mem 

###  Pt ECog - Total 

###  SP ECog - Total

Longitudinal plots


\clearpage
\subsection{ ADAS 13 change from baseline}

%latex.default(tab[, -(1:2)], file = "", rowlabel = "Month", rowname = tab[,     1], rgroup = unique(tab[, 2]), n.rgroup = table(tab[, 2]),     digits = 3, where = "h!", rownamesTexCmd = rcmd, label = paste("long",         oc, sep = ""))%
\begin{table}[h!]
\begin{center}
\begin{tabular}{lrrrrrrrr}
\hline\hline
\multicolumn{1}{l}{Month}&\multicolumn{1}{c}{N}&\multicolumn{1}{c}{Min.}&\multicolumn{1}{c}{Q.1}&\multicolumn{1}{c}{Median}&\multicolumn{1}{c}{Mean}&\multicolumn{1}{c}{Q.3}&\multicolumn{1}{c}{Max.}&\multicolumn{1}{c}{SD}\tabularnewline
\hline
{\bfseries CN}&&&&&&&&\tabularnewline
\rowcolor[gray]{.9}   ~~3&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~6&   $270$&   $-11.00$&   $-2.00$&   $ 0.000$&   $-0.3850$&   $ 2.000$&   $11.00$&   $ 3.43$\tabularnewline
\rowcolor[gray]{.9}   ~~12&   $262$&   $-11.00$&   $-3.00$&   $-0.340$&   $-0.5540$&   $ 2.000$&   $11.00$&   $ 3.71$\tabularnewline
   ~~18&   $  4$&   $  2.67$&   $ 4.17$&   $ 5.170$&   $ 5.0000$&   $ 6.000$&   $ 7.00$&   $ 1.82$\tabularnewline
\rowcolor[gray]{.9}   ~~24&   $362$&   $-10.00$&   $-2.67$&   $ 0.000$&   $-0.3410$&   $ 2.000$&   $13.30$&   $ 3.52$\tabularnewline
   ~~30&   $ 27$&   $ -4.34$&   $-0.33$&   $ 0.330$&   $ 0.5810$&   $ 1.340$&   $ 7.00$&   $ 2.45$\tabularnewline
\rowcolor[gray]{.9}   ~~36&   $ 55$&   $ -9.33$&   $-2.00$&   $ 0.000$&   $ 0.4910$&   $ 2.500$&   $26.00$&   $ 5.23$\tabularnewline
   ~~42&   $  6$&   $ -6.67$&   $-4.67$&   $-1.340$&   $-0.2230$&   $ 4.750$&   $ 7.00$&   $ 5.81$\tabularnewline
\rowcolor[gray]{.9}   ~~48&   $160$&   $ -8.00$&   $-3.00$&   $ 0.000$&   $ 0.1770$&   $ 3.000$&   $14.00$&   $ 4.05$\tabularnewline
   ~~54&   $ 20$&   $ -8.33$&   $-2.66$&   $ 0.670$&   $ 0.2010$&   $ 2.750$&   $ 8.00$&   $ 4.22$\tabularnewline
\rowcolor[gray]{.9}   ~~60&   $ 28$&   $ -6.33$&   $-1.42$&   $ 0.000$&   $ 2.1800$&   $ 4.500$&   $17.00$&   $ 5.94$\tabularnewline
   ~~66&   $ 50$&   $ -5.67$&   $-2.58$&   $-0.670$&   $-0.2940$&   $ 1.580$&   $ 9.00$&   $ 3.42$\tabularnewline
\rowcolor[gray]{.9}   ~~72&   $ 62$&   $ -6.67$&   $-1.92$&   $ 0.500$&   $ 1.3700$&   $ 3.330$&   $19.70$&   $ 5.23$\tabularnewline
   ~~78&   $ 43$&   $ -6.33$&   $-2.00$&   $ 1.000$&   $ 1.1900$&   $ 3.660$&   $14.70$&   $ 4.56$\tabularnewline
\rowcolor[gray]{.9}   ~~84&   $ 21$&   $ -7.33$&   $-0.33$&   $ 1.670$&   $ 4.8300$&   $ 5.330$&   $27.30$&   $ 8.66$\tabularnewline
   ~~90&   $ 38$&   $ -6.67$&   $-2.33$&   $ 1.670$&   $ 1.5200$&   $ 4.830$&   $11.00$&   $ 4.75$\tabularnewline
\rowcolor[gray]{.9}   ~~96&   $ 36$&   $ -9.33$&   $-1.58$&   $ 2.330$&   $ 2.4700$&   $ 5.170$&   $19.00$&   $ 6.31$\tabularnewline
   ~~102&   $ 12$&   $ -2.33$&   $ 1.25$&   $ 2.660$&   $ 3.6700$&   $ 6.670$&   $ 8.33$&   $ 3.55$\tabularnewline
\rowcolor[gray]{.9}   ~~108&   $  5$&   $ -0.67$&   $ 1.33$&   $ 2.670$&   $ 3.0000$&   $ 3.670$&   $ 8.00$&   $ 3.23$\tabularnewline
   ~~114&   $  7$&   $ -5.00$&   $-2.16$&   $-1.330$&   $ 2.1900$&   $ 3.500$&   $19.00$&   $ 8.11$\tabularnewline
\rowcolor[gray]{.9}   ~~120&   $  5$&   $ -6.00$&   $-1.00$&   $-1.000$&   $ 2.3300$&   $ 3.670$&   $16.00$&   $ 8.37$\tabularnewline
\hline
{\bfseries MCI}&&&&&&&&\tabularnewline
   ~~3&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~6&   $429$&   $-12.00$&   $-3.00$&   $ 0.000$&   $ 0.0583$&   $ 3.000$&   $16.00$&   $ 4.38$\tabularnewline
   ~~12&   $535$&   $-15.00$&   $-3.00$&   $ 0.000$&   $ 0.1430$&   $ 3.000$&   $54.00$&   $ 5.01$\tabularnewline
\rowcolor[gray]{.9}   ~~18&   $  3$&   $ -1.66$&   $ 1.33$&   $ 4.330$&   $ 7.3300$&   $11.800$&   $19.30$&   $10.80$\tabularnewline
   ~~24&   $418$&   $-11.00$&   $-2.75$&   $ 0.000$&   $ 1.1200$&   $ 4.000$&   $21.00$&   $ 5.44$\tabularnewline
\rowcolor[gray]{.9}   ~~30&   $  6$&   $ -4.00$&   $ 2.50$&   $ 7.160$&   $ 7.0600$&   $10.100$&   $20.00$&   $ 8.23$\tabularnewline
   ~~36&   $341$&   $-14.00$&   $-2.00$&   $ 1.000$&   $ 2.1100$&   $ 5.000$&   $49.00$&   $ 7.36$\tabularnewline
\rowcolor[gray]{.9}   ~~42&   $  2$&   $ -8.00$&   $-6.33$&   $-4.660$&   $-4.6600$&   $-3.000$&   $-1.33$&   $ 4.72$\tabularnewline
   ~~48&   $250$&   $-12.00$&   $-2.00$&   $ 1.000$&   $ 3.4500$&   $ 6.000$&   $55.00$&   $ 9.59$\tabularnewline
\rowcolor[gray]{.9}   ~~54&   $  6$&   $ -3.67$&   $ 1.33$&   $ 2.660$&   $ 5.0600$&   $ 9.000$&   $16.70$&   $ 7.37$\tabularnewline
   ~~60&   $122$&   $ -7.00$&   $-1.50$&   $ 2.000$&   $ 4.5900$&   $ 6.250$&   $71.00$&   $11.20$\tabularnewline
\rowcolor[gray]{.9}   ~~66&   $ 31$&   $ -8.00$&   $-3.16$&   $ 1.330$&   $ 4.0400$&   $ 7.670$&   $30.00$&   $10.00$\tabularnewline
   ~~72&   $ 64$&   $ -7.67$&   $-1.67$&   $ 1.000$&   $ 1.9500$&   $ 4.410$&   $21.00$&   $ 5.87$\tabularnewline
\rowcolor[gray]{.9}   ~~78&   $ 37$&   $ -7.00$&   $-1.67$&   $ 0.330$&   $ 2.8200$&   $ 4.000$&   $38.70$&   $ 8.61$\tabularnewline
   ~~84&   $ 52$&   $ -5.33$&   $-1.33$&   $ 1.500$&   $ 3.8600$&   $ 6.840$&   $26.70$&   $ 7.50$\tabularnewline
\rowcolor[gray]{.9}   ~~90&   $ 41$&   $ -7.67$&   $-2.00$&   $ 2.000$&   $ 2.5200$&   $ 5.670$&   $20.00$&   $ 7.20$\tabularnewline
   ~~96&   $ 35$&   $-10.00$&   $-1.67$&   $ 1.330$&   $ 5.0400$&   $ 6.830$&   $39.70$&   $10.60$\tabularnewline
\rowcolor[gray]{.9}   ~~102&   $ 33$&   $ -8.00$&   $-4.00$&   $ 1.330$&   $ 1.8400$&   $ 4.330$&   $21.00$&   $ 6.42$\tabularnewline
\hline
{\bfseries Dementia}&&&&&&&&\tabularnewline
   ~~108&   $ 24$&   $ -9.67$&   $-2.75$&   $-0.665$&   $ 2.3600$&   $ 2.830$&   $26.00$&   $ 9.31$\tabularnewline
\rowcolor[gray]{.9}   ~~114&   $ 13$&   $ -7.33$&   $-1.67$&   $ 1.670$&   $ 1.6900$&   $ 4.000$&   $14.00$&   $ 5.77$\tabularnewline
   ~~120&   $  9$&   $-10.00$&   $-3.33$&   $-1.670$&   $ 1.5600$&   $ 5.000$&   $24.00$&   $ 9.82$\tabularnewline
\rowcolor[gray]{.9}   ~~126&   $  3$&   $-10.70$&   $-1.34$&   $ 8.000$&   $ 4.5500$&   $12.200$&   $16.30$&   $13.80$\tabularnewline
   ~~132&   $  2$&   $ -6.00$&   $-3.92$&   $-1.840$&   $-1.8400$&   $ 0.248$&   $ 2.33$&   $ 5.89$\tabularnewline
\rowcolor[gray]{.9}   ~~3&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~6&   $127$&   $-12.00$&   $-1.50$&   $ 2.000$&   $ 2.3800$&   $ 6.500$&   $23.00$&   $ 5.62$\tabularnewline
\rowcolor[gray]{.9}   ~~12&   $135$&   $-13.00$&   $ 0.50$&   $ 3.670$&   $ 4.6600$&   $ 8.000$&   $27.00$&   $ 6.46$\tabularnewline
   ~~18&   $  2$&   $ -0.33$&   $ 5.09$&   $10.500$&   $10.5000$&   $15.900$&   $21.30$&   $15.30$\tabularnewline
\rowcolor[gray]{.9}   ~~24&   $ 46$&   $ -5.33$&   $ 3.00$&   $ 7.500$&   $ 9.7000$&   $13.000$&   $36.00$&   $10.20$\tabularnewline
   ~~30&   $  3$&   $ -1.67$&   $ 2.00$&   $ 5.670$&   $ 5.5600$&   $ 9.170$&   $12.70$&   $ 7.17$\tabularnewline
\rowcolor[gray]{.9}   ~~36&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~42&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~48&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~54&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~60&   $  1$&   $  4.33$&   $ 4.33$&   $ 4.330$&   $ 4.3300$&   $ 4.330$&   $ 4.33$&   $$\tabularnewline
   ~~66&   $  1$&   $  6.67$&   $ 6.67$&   $ 6.670$&   $ 6.6700$&   $ 6.670$&   $ 6.67$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~72&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~78&   $  1$&   $  9.00$&   $ 9.00$&   $ 9.000$&   $ 9.0000$&   $ 9.000$&   $ 9.00$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~84&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~90&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~96&   $  1$&   $ 11.00$&   $11.00$&   $11.000$&   $11.0000$&   $11.000$&   $11.00$&   $$\tabularnewline
   ~~102&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\hline
\end{tabular}\end{center}
\end{table}


\clearpage
\subsection{ MMSE change from baseline}

%latex.default(tab[, -(1:2)], file = "", rowlabel = "Month", rowname = tab[,     1], rgroup = unique(tab[, 2]), n.rgroup = table(tab[, 2]),     digits = 3, where = "h!", rownamesTexCmd = rcmd, label = paste("long",         oc, sep = ""))%
\begin{table}[h!]
\begin{center}
\begin{tabular}{lrrrrrrrr}
\hline\hline
\multicolumn{1}{l}{Month}&\multicolumn{1}{c}{N}&\multicolumn{1}{c}{Min.}&\multicolumn{1}{c}{Q.1}&\multicolumn{1}{c}{Median}&\multicolumn{1}{c}{Mean}&\multicolumn{1}{c}{Q.3}&\multicolumn{1}{c}{Max.}&\multicolumn{1}{c}{SD}\tabularnewline
\hline
{\bfseries CN}&&&&&&&&\tabularnewline
\rowcolor[gray]{.9}   ~~3&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~6&   $274$&   $ -4$&   $ -1.00$&   $  0.0$&   $ -0.0547$&   $ 1.00$&   $ 4$&   $1.400$\tabularnewline
\rowcolor[gray]{.9}   ~~12&   $265$&   $ -8$&   $ -1.00$&   $  0.0$&   $ -0.2230$&   $ 1.00$&   $ 4$&   $1.580$\tabularnewline
   ~~18&   $  4$&   $ -2$&   $ -0.50$&   $  0.5$&   $  0.5000$&   $ 1.50$&   $ 3$&   $2.080$\tabularnewline
\rowcolor[gray]{.9}   ~~24&   $369$&   $ -5$&   $ -1.00$&   $  0.0$&   $ -0.1220$&   $ 1.00$&   $ 4$&   $1.410$\tabularnewline
   ~~30&   $ 28$&   $ -3$&   $ -1.00$&   $  0.0$&   $ -0.0714$&   $ 1.00$&   $ 2$&   $1.300$\tabularnewline
\rowcolor[gray]{.9}   ~~36&   $ 58$&   $ -9$&   $ -1.00$&   $  0.0$&   $ -0.6550$&   $ 0.00$&   $ 4$&   $2.000$\tabularnewline
   ~~42&   $  6$&   $  0$&   $  0.00$&   $  0.5$&   $  0.5000$&   $ 1.00$&   $ 1$&   $0.548$\tabularnewline
\rowcolor[gray]{.9}   ~~48&   $160$&   $ -7$&   $ -1.00$&   $  0.0$&   $ -0.2750$&   $ 1.00$&   $ 4$&   $1.700$\tabularnewline
   ~~54&   $ 19$&   $ -2$&   $ -0.50$&   $  0.0$&   $  0.1580$&   $ 1.00$&   $ 3$&   $1.260$\tabularnewline
\rowcolor[gray]{.9}   ~~60&   $ 29$&   $-10$&   $ -1.00$&   $  0.0$&   $ -0.5860$&   $ 0.00$&   $ 3$&   $2.310$\tabularnewline
   ~~66&   $ 50$&   $ -6$&   $ -1.00$&   $  0.0$&   $ -0.1800$&   $ 1.00$&   $ 4$&   $1.860$\tabularnewline
\rowcolor[gray]{.9}   ~~72&   $ 61$&   $ -5$&   $ -1.00$&   $  0.0$&   $ -0.3280$&   $ 1.00$&   $ 4$&   $1.750$\tabularnewline
   ~~78&   $ 43$&   $ -8$&   $ -1.00$&   $  0.0$&   $ -0.5120$&   $ 0.00$&   $ 3$&   $1.840$\tabularnewline
\rowcolor[gray]{.9}   ~~84&   $ 20$&   $ -7$&   $ -3.00$&   $  0.0$&   $ -1.1500$&   $ 0.00$&   $ 3$&   $2.580$\tabularnewline
   ~~90&   $ 39$&   $ -4$&   $ -1.50$&   $  0.0$&   $ -0.6150$&   $ 0.00$&   $ 4$&   $1.580$\tabularnewline
\rowcolor[gray]{.9}   ~~96&   $ 37$&   $-10$&   $ -2.00$&   $  0.0$&   $ -0.8920$&   $ 0.00$&   $ 4$&   $2.260$\tabularnewline
   ~~102&   $ 11$&   $ -3$&   $ -2.00$&   $  0.0$&   $ -0.7270$&   $ 0.00$&   $ 1$&   $1.350$\tabularnewline
\rowcolor[gray]{.9}   ~~108&   $  5$&   $ -3$&   $ -2.00$&   $  0.0$&   $ -0.6000$&   $ 0.00$&   $ 2$&   $1.950$\tabularnewline
   ~~114&   $  8$&   $-10$&   $ -2.00$&   $ -0.5$&   $ -1.8800$&   $ 0.00$&   $ 0$&   $3.400$\tabularnewline
\rowcolor[gray]{.9}   ~~120&   $  5$&   $ -6$&   $ -6.00$&   $ -1.0$&   $ -2.6000$&   $ 0.00$&   $ 0$&   $3.130$\tabularnewline
\hline
{\bfseries MCI}&&&&&&&&\tabularnewline
   ~~3&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~6&   $430$&   $-10$&   $ -2.00$&   $  0.0$&   $ -0.4490$&   $ 1.00$&   $ 5$&   $1.880$\tabularnewline
   ~~12&   $540$&   $-11$&   $ -2.00$&   $  0.0$&   $ -0.5460$&   $ 1.00$&   $ 6$&   $2.100$\tabularnewline
\rowcolor[gray]{.9}   ~~18&   $  3$&   $-10$&   $ -5.00$&   $  0.0$&   $ -3.0000$&   $ 0.50$&   $ 1$&   $6.080$\tabularnewline
   ~~24&   $425$&   $-12$&   $ -2.00$&   $  0.0$&   $ -0.9080$&   $ 1.00$&   $ 6$&   $2.480$\tabularnewline
\rowcolor[gray]{.9}   ~~30&   $  6$&   $ -7$&   $ -5.00$&   $ -2.0$&   $ -3.3300$&   $-2.00$&   $-1$&   $2.500$\tabularnewline
   ~~36&   $342$&   $-23$&   $ -2.00$&   $ -1.0$&   $ -1.2100$&   $ 1.00$&   $ 6$&   $3.290$\tabularnewline
\rowcolor[gray]{.9}   ~~42&   $  1$&   $  0$&   $  0.00$&   $  0.0$&   $  0.0000$&   $ 0.00$&   $ 0$&   $$\tabularnewline
   ~~48&   $254$&   $-20$&   $ -3.00$&   $ -1.0$&   $ -1.6000$&   $ 1.00$&   $ 5$&   $3.820$\tabularnewline
\rowcolor[gray]{.9}   ~~54&   $  6$&   $ -5$&   $ -5.00$&   $ -3.0$&   $ -2.5000$&   $-0.25$&   $ 1$&   $2.810$\tabularnewline
   ~~60&   $125$&   $-30$&   $ -3.00$&   $ -1.0$&   $ -1.8800$&   $ 0.00$&   $ 4$&   $4.620$\tabularnewline
\rowcolor[gray]{.9}   ~~66&   $ 35$&   $-24$&   $ -3.50$&   $ -1.0$&   $ -3.0300$&   $ 1.00$&   $ 4$&   $6.190$\tabularnewline
   ~~72&   $ 63$&   $-10$&   $ -2.00$&   $  0.0$&   $ -1.1000$&   $ 0.00$&   $ 5$&   $2.750$\tabularnewline
\rowcolor[gray]{.9}   ~~78&   $ 40$&   $-16$&   $ -2.00$&   $ -1.0$&   $ -1.6000$&   $ 0.25$&   $ 4$&   $3.870$\tabularnewline
   ~~84&   $ 54$&   $-17$&   $ -3.00$&   $ -1.0$&   $ -1.6100$&   $ 1.00$&   $ 5$&   $4.110$\tabularnewline
\rowcolor[gray]{.9}   ~~90&   $ 44$&   $-20$&   $ -3.25$&   $ -0.5$&   $ -1.9500$&   $ 0.25$&   $ 6$&   $4.580$\tabularnewline
   ~~96&   $ 35$&   $-12$&   $ -3.00$&   $ -1.0$&   $ -1.8900$&   $ 1.00$&   $ 2$&   $3.680$\tabularnewline
\rowcolor[gray]{.9}   ~~102&   $ 34$&   $ -9$&   $ -2.00$&   $ -1.0$&   $ -1.0000$&   $ 0.75$&   $ 5$&   $2.620$\tabularnewline
\hline
{\bfseries Dementia}&&&&&&&&\tabularnewline
   ~~108&   $ 24$&   $-10$&   $ -2.00$&   $  0.0$&   $ -0.9170$&   $ 1.00$&   $ 2$&   $2.730$\tabularnewline
\rowcolor[gray]{.9}   ~~114&   $ 13$&   $ -4$&   $ -2.00$&   $ -1.0$&   $ -0.8460$&   $ 0.00$&   $ 4$&   $2.080$\tabularnewline
   ~~120&   $ 10$&   $ -6$&   $ -2.00$&   $  0.5$&   $ -0.6000$&   $ 1.75$&   $ 3$&   $3.060$\tabularnewline
\rowcolor[gray]{.9}   ~~126&   $  3$&   $ -4$&   $ -4.00$&   $ -4.0$&   $ -3.0000$&   $-2.50$&   $-1$&   $1.730$\tabularnewline
   ~~132&   $  3$&   $ -1$&   $  0.00$&   $  1.0$&   $  0.6670$&   $ 1.50$&   $ 2$&   $1.530$\tabularnewline
\rowcolor[gray]{.9}   ~~3&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~6&   $131$&   $-16$&   $ -3.00$&   $ -1.0$&   $ -1.1800$&   $ 1.00$&   $ 8$&   $3.070$\tabularnewline
\rowcolor[gray]{.9}   ~~12&   $139$&   $-16$&   $ -4.50$&   $ -2.0$&   $ -2.3500$&   $ 0.00$&   $ 5$&   $3.870$\tabularnewline
   ~~18&   $  3$&   $-19$&   $-14.50$&   $-10.0$&   $-10.3000$&   $-6.00$&   $-2$&   $8.500$\tabularnewline
\rowcolor[gray]{.9}   ~~24&   $ 48$&   $-15$&   $ -6.25$&   $ -4.0$&   $ -4.2900$&   $-2.00$&   $ 3$&   $4.060$\tabularnewline
   ~~30&   $  3$&   $ -8$&   $ -5.00$&   $ -2.0$&   $ -3.6700$&   $-1.50$&   $-1$&   $3.790$\tabularnewline
\rowcolor[gray]{.9}   ~~36&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~42&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~48&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~54&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~60&   $  1$&   $  0$&   $  0.00$&   $  0.0$&   $  0.0000$&   $ 0.00$&   $ 0$&   $$\tabularnewline
   ~~66&   $  1$&   $ -4$&   $ -4.00$&   $ -4.0$&   $ -4.0000$&   $-4.00$&   $-4$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~72&   $  1$&   $ -3$&   $ -3.00$&   $ -3.0$&   $ -3.0000$&   $-3.00$&   $-3$&   $$\tabularnewline
   ~~78&   $  1$&   $ -5$&   $ -5.00$&   $ -5.0$&   $ -5.0000$&   $-5.00$&   $-5$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~84&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~90&   $  1$&   $ -5$&   $ -5.00$&   $ -5.0$&   $ -5.0000$&   $-5.00$&   $-5$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~96&   $  1$&   $ -8$&   $ -8.00$&   $ -8.0$&   $ -8.0000$&   $-8.00$&   $-8$&   $$\tabularnewline
   ~~102&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\hline
\end{tabular}\end{center}
\end{table}


\clearpage
\subsection{ CDR-SB change from baseline}

%latex.default(tab[, -(1:2)], file = "", rowlabel = "Month", rowname = tab[,     1], rgroup = unique(tab[, 2]), n.rgroup = table(tab[, 2]),     digits = 3, where = "h!", rownamesTexCmd = rcmd, label = paste("long",         oc, sep = ""))%
\begin{table}[h!]
\begin{center}
\begin{tabular}{lrrrrrrrr}
\hline\hline
\multicolumn{1}{l}{Month}&\multicolumn{1}{c}{N}&\multicolumn{1}{c}{Min.}&\multicolumn{1}{c}{Q.1}&\multicolumn{1}{c}{Median}&\multicolumn{1}{c}{Mean}&\multicolumn{1}{c}{Q.3}&\multicolumn{1}{c}{Max.}&\multicolumn{1}{c}{SD}\tabularnewline
\hline
{\bfseries CN}&&&&&&&&\tabularnewline
\rowcolor[gray]{.9}   ~~3&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~6&   $273$&   $-1.0$&   $ 0.000$&   $ 0.00$&   $ 0.0879$&   $ 0.000$&   $ 2.5$&   $0.348$\tabularnewline
\rowcolor[gray]{.9}   ~~12&   $263$&   $-1.0$&   $ 0.000$&   $ 0.00$&   $ 0.1250$&   $ 0.000$&   $ 4.0$&   $0.494$\tabularnewline
   ~~18&   $  4$&   $ 0.0$&   $ 0.000$&   $ 0.00$&   $ 0.1250$&   $ 0.125$&   $ 0.5$&   $0.250$\tabularnewline
\rowcolor[gray]{.9}   ~~24&   $392$&   $-1.0$&   $ 0.000$&   $ 0.00$&   $ 0.1520$&   $ 0.000$&   $ 5.0$&   $0.561$\tabularnewline
   ~~30&   $ 30$&   $-0.5$&   $ 0.000$&   $ 0.00$&   $ 0.2330$&   $ 0.000$&   $ 3.5$&   $0.716$\tabularnewline
\rowcolor[gray]{.9}   ~~36&   $ 52$&   $-0.5$&   $ 0.000$&   $ 0.00$&   $ 0.4900$&   $ 0.500$&   $ 5.0$&   $1.150$\tabularnewline
   ~~42&   $  7$&   $ 0.0$&   $ 0.000$&   $ 0.00$&   $ 0.0000$&   $ 0.000$&   $ 0.0$&   $0.000$\tabularnewline
\rowcolor[gray]{.9}   ~~48&   $155$&   $-0.5$&   $ 0.000$&   $ 0.00$&   $ 0.2160$&   $ 0.000$&   $ 5.0$&   $0.698$\tabularnewline
   ~~54&   $ 19$&   $-0.5$&   $ 0.000$&   $ 0.00$&   $ 0.1840$&   $ 0.250$&   $ 1.5$&   $0.448$\tabularnewline
\rowcolor[gray]{.9}   ~~60&   $ 31$&   $-0.5$&   $ 0.000$&   $ 0.00$&   $ 0.8230$&   $ 0.500$&   $11.0$&   $2.250$\tabularnewline
   ~~66&   $ 53$&   $-0.5$&   $ 0.000$&   $ 0.00$&   $ 0.4060$&   $ 0.500$&   $ 5.5$&   $0.986$\tabularnewline
\rowcolor[gray]{.9}   ~~72&   $ 62$&   $ 0.0$&   $ 0.000$&   $ 0.00$&   $ 0.3230$&   $ 0.000$&   $ 4.5$&   $0.795$\tabularnewline
   ~~78&   $ 49$&   $-0.5$&   $ 0.000$&   $ 0.00$&   $ 0.6330$&   $ 0.500$&   $10.0$&   $1.790$\tabularnewline
\rowcolor[gray]{.9}   ~~84&   $ 25$&   $-0.5$&   $ 0.000$&   $ 0.00$&   $ 0.8200$&   $ 0.500$&   $ 8.5$&   $1.890$\tabularnewline
   ~~90&   $ 42$&   $-0.5$&   $ 0.000$&   $ 0.00$&   $ 0.7020$&   $ 0.875$&   $12.0$&   $1.890$\tabularnewline
\rowcolor[gray]{.9}   ~~96&   $ 37$&   $-0.5$&   $ 0.000$&   $ 0.00$&   $ 0.8110$&   $ 1.500$&   $ 4.0$&   $1.300$\tabularnewline
   ~~102&   $ 20$&   $ 0.0$&   $ 0.000$&   $ 0.00$&   $ 1.3000$&   $ 0.500$&   $15.5$&   $3.610$\tabularnewline
\rowcolor[gray]{.9}   ~~108&   $  7$&   $ 0.0$&   $ 0.250$&   $ 0.50$&   $ 2.9300$&   $ 1.000$&   $17.5$&   $6.440$\tabularnewline
   ~~114&   $ 11$&   $ 0.0$&   $ 0.000$&   $ 0.00$&   $ 1.6800$&   $ 1.000$&   $ 9.0$&   $3.180$\tabularnewline
\rowcolor[gray]{.9}   ~~120&   $  6$&   $ 0.0$&   $ 0.000$&   $ 0.00$&   $ 0.1670$&   $ 0.000$&   $ 1.0$&   $0.408$\tabularnewline
\hline
{\bfseries MCI}&&&&&&&&\tabularnewline
   ~~3&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~6&   $426$&   $-3.5$&   $-0.500$&   $ 0.00$&   $ 0.1310$&   $ 0.500$&   $ 3.0$&   $0.807$\tabularnewline
   ~~12&   $538$&   $-3.0$&   $-0.500$&   $ 0.00$&   $ 0.1900$&   $ 0.500$&   $ 5.5$&   $1.020$\tabularnewline
\rowcolor[gray]{.9}   ~~18&   $  4$&   $ 0.0$&   $ 0.000$&   $ 0.50$&   $ 2.5000$&   $ 3.000$&   $ 9.0$&   $4.360$\tabularnewline
   ~~24&   $441$&   $-3.0$&   $-0.500$&   $ 0.00$&   $ 0.5930$&   $ 1.000$&   $11.5$&   $1.650$\tabularnewline
\rowcolor[gray]{.9}   ~~30&   $  8$&   $-0.5$&   $ 0.000$&   $ 0.25$&   $ 0.8750$&   $ 1.750$&   $ 3.0$&   $1.300$\tabularnewline
   ~~36&   $353$&   $-3.5$&   $-0.500$&   $ 0.00$&   $ 0.8700$&   $ 1.500$&   $12.5$&   $2.310$\tabularnewline
\rowcolor[gray]{.9}   ~~42&   $  2$&   $-1.0$&   $-0.875$&   $-0.75$&   $-0.7500$&   $-0.625$&   $-0.5$&   $0.354$\tabularnewline
   ~~48&   $255$&   $-3.5$&   $-0.500$&   $ 0.00$&   $ 1.1300$&   $ 2.000$&   $16.0$&   $2.920$\tabularnewline
\rowcolor[gray]{.9}   ~~54&   $  6$&   $-1.0$&   $ 0.250$&   $ 1.25$&   $ 1.0000$&   $ 1.880$&   $ 2.5$&   $1.300$\tabularnewline
   ~~60&   $123$&   $-3.0$&   $-0.500$&   $ 0.00$&   $ 0.8860$&   $ 1.250$&   $14.5$&   $2.600$\tabularnewline
\rowcolor[gray]{.9}   ~~66&   $ 36$&   $-3.0$&   $-0.625$&   $ 0.50$&   $ 1.9900$&   $ 3.500$&   $15.0$&   $4.000$\tabularnewline
   ~~72&   $ 65$&   $-3.0$&   $-0.500$&   $ 0.00$&   $ 0.7150$&   $ 1.000$&   $10.0$&   $2.530$\tabularnewline
\rowcolor[gray]{.9}   ~~78&   $ 42$&   $-2.0$&   $-0.500$&   $ 0.00$&   $ 1.5400$&   $ 1.380$&   $15.5$&   $4.260$\tabularnewline
   ~~84&   $ 57$&   $-3.0$&   $-0.500$&   $ 0.50$&   $ 1.6900$&   $ 2.000$&   $17.0$&   $3.770$\tabularnewline
\rowcolor[gray]{.9}   ~~90&   $ 45$&   $-3.5$&   $-0.500$&   $ 0.00$&   $ 0.6890$&   $ 1.000$&   $12.5$&   $2.900$\tabularnewline
   ~~96&   $ 42$&   $-2.5$&   $-0.500$&   $ 0.00$&   $ 1.9200$&   $ 3.120$&   $14.0$&   $3.830$\tabularnewline
\rowcolor[gray]{.9}   ~~102&   $ 36$&   $-3.5$&   $-1.000$&   $-0.25$&   $ 0.4860$&   $ 1.000$&   $ 9.5$&   $2.460$\tabularnewline
\hline
{\bfseries Dementia}&&&&&&&&\tabularnewline
   ~~108&   $ 34$&   $-2.5$&   $-0.500$&   $ 0.00$&   $ 1.6800$&   $ 1.500$&   $16.5$&   $4.140$\tabularnewline
\rowcolor[gray]{.9}   ~~114&   $ 14$&   $-1.0$&   $-0.500$&   $ 0.75$&   $ 1.8900$&   $ 2.380$&   $14.5$&   $4.040$\tabularnewline
   ~~120&   $ 15$&   $-1.5$&   $-0.750$&   $-0.50$&   $-0.1330$&   $ 0.250$&   $ 1.5$&   $0.915$\tabularnewline
\rowcolor[gray]{.9}   ~~126&   $  4$&   $-1.0$&   $ 0.125$&   $ 1.50$&   $ 1.6200$&   $ 3.000$&   $ 4.5$&   $2.390$\tabularnewline
   ~~132&   $  3$&   $-2.5$&   $-2.000$&   $-1.50$&   $-1.5000$&   $-1.000$&   $-0.5$&   $1.000$\tabularnewline
\rowcolor[gray]{.9}   ~~3&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~6&   $131$&   $-2.5$&   $ 0.000$&   $ 0.50$&   $ 0.8130$&   $ 1.500$&   $ 9.0$&   $1.540$\tabularnewline
\rowcolor[gray]{.9}   ~~12&   $150$&   $-2.0$&   $ 0.000$&   $ 1.00$&   $ 1.8300$&   $ 2.500$&   $11.5$&   $2.410$\tabularnewline
   ~~18&   $  3$&   $ 2.0$&   $ 2.500$&   $ 3.00$&   $ 4.6700$&   $ 6.000$&   $ 9.0$&   $3.790$\tabularnewline
\rowcolor[gray]{.9}   ~~24&   $ 51$&   $-1.0$&   $ 1.000$&   $ 2.50$&   $ 3.0000$&   $ 5.000$&   $ 8.5$&   $2.580$\tabularnewline
   ~~30&   $  3$&   $ 0.5$&   $ 1.250$&   $ 2.00$&   $ 4.6700$&   $ 6.750$&   $11.5$&   $5.970$\tabularnewline
\rowcolor[gray]{.9}   ~~36&   $  1$&   $ 1.5$&   $ 1.500$&   $ 1.50$&   $ 1.5000$&   $ 1.500$&   $ 1.5$&   $$\tabularnewline
   ~~42&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~48&   $  1$&   $ 3.0$&   $ 3.000$&   $ 3.00$&   $ 3.0000$&   $ 3.000$&   $ 3.0$&   $$\tabularnewline
   ~~54&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~60&   $  3$&   $ 2.0$&   $ 6.500$&   $11.00$&   $ 8.1700$&   $11.200$&   $11.5$&   $5.350$\tabularnewline
   ~~66&   $  1$&   $ 5.0$&   $ 5.000$&   $ 5.00$&   $ 5.0000$&   $ 5.000$&   $ 5.0$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~72&   $  1$&   $ 8.5$&   $ 8.500$&   $ 8.50$&   $ 8.5000$&   $ 8.500$&   $ 8.5$&   $$\tabularnewline
   ~~78&   $  3$&   $ 7.0$&   $ 9.250$&   $11.50$&   $11.0000$&   $13.000$&   $14.5$&   $3.770$\tabularnewline
\rowcolor[gray]{.9}   ~~84&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~90&   $  1$&   $ 4.0$&   $ 4.000$&   $ 4.00$&   $ 4.0000$&   $ 4.000$&   $ 4.0$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~96&   $  1$&   $11.0$&   $11.000$&   $11.00$&   $11.0000$&   $11.000$&   $11.0$&   $$\tabularnewline
   ~~102&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\hline
\end{tabular}\end{center}
\end{table}


\clearpage
\subsection{ Pt ECog - Mem change from baseline}

%latex.default(tab[, -(1:2)], file = "", rowlabel = "Month", rowname = tab[,     1], rgroup = unique(tab[, 2]), n.rgroup = table(tab[, 2]),     digits = 3, where = "h!", rownamesTexCmd = rcmd, label = paste("long",         oc, sep = ""))%
\begin{table}[h!]
\begin{center}
\begin{tabular}{lrrrrrrrr}
\hline\hline
\multicolumn{1}{l}{Month}&\multicolumn{1}{c}{N}&\multicolumn{1}{c}{Min.}&\multicolumn{1}{c}{Q.1}&\multicolumn{1}{c}{Median}&\multicolumn{1}{c}{Mean}&\multicolumn{1}{c}{Q.3}&\multicolumn{1}{c}{Max.}&\multicolumn{1}{c}{SD}\tabularnewline
\hline
{\bfseries CN}&&&&&&&&\tabularnewline
\rowcolor[gray]{.9}   ~~3&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~6&   $273$&   $-1.5000$&   $-0.2500$&   $ 0.0000$&   $ 0.0303$&   $ 0.2500$&   $ 1.6200$&   $0.4310$\tabularnewline
\rowcolor[gray]{.9}   ~~12&   $266$&   $-1.3800$&   $-0.2500$&   $ 0.0000$&   $ 0.0175$&   $ 0.2500$&   $ 1.6200$&   $0.4180$\tabularnewline
   ~~18&   $  4$&   $-1.0000$&   $-0.3440$&   $-0.0625$&   $ 0.1250$&   $ 0.4060$&   $ 1.6200$&   $1.0900$\tabularnewline
\rowcolor[gray]{.9}   ~~24&   $401$&   $-2.0000$&   $-0.2500$&   $ 0.0000$&   $ 0.0236$&   $ 0.2500$&   $ 1.7500$&   $0.4440$\tabularnewline
   ~~30&   $ 31$&   $-0.6250$&   $-0.3750$&   $-0.1250$&   $-0.1010$&   $ 0.1250$&   $ 0.6250$&   $0.3420$\tabularnewline
\rowcolor[gray]{.9}   ~~36&   $ 57$&   $-0.5890$&   $-0.2500$&   $ 0.0000$&   $ 0.0423$&   $ 0.2500$&   $ 1.2500$&   $0.3600$\tabularnewline
   ~~42&   $  7$&   $-0.8750$&   $-0.4790$&   $-0.1250$&   $-0.2800$&   $ 0.0000$&   $ 0.0000$&   $0.3500$\tabularnewline
\rowcolor[gray]{.9}   ~~48&   $160$&   $-1.3800$&   $-0.2500$&   $ 0.0000$&   $ 0.0439$&   $ 0.3750$&   $ 2.1200$&   $0.5010$\tabularnewline
   ~~54&   $ 21$&   $-1.4300$&   $-0.0357$&   $ 0.1250$&   $ 0.2040$&   $ 0.6250$&   $ 1.3800$&   $0.6630$\tabularnewline
\rowcolor[gray]{.9}   ~~60&   $ 31$&   $-1.0000$&   $-0.0625$&   $ 0.1250$&   $ 0.1430$&   $ 0.3750$&   $ 1.0000$&   $0.4260$\tabularnewline
   ~~66&   $ 53$&   $-1.0000$&   $-0.1250$&   $ 0.0893$&   $ 0.1160$&   $ 0.3750$&   $ 1.2500$&   $0.4640$\tabularnewline
\rowcolor[gray]{.9}   ~~72&   $ 63$&   $-0.7500$&   $-0.1250$&   $ 0.1250$&   $ 0.1680$&   $ 0.5000$&   $ 1.6200$&   $0.4940$\tabularnewline
   ~~78&   $ 50$&   $-1.3200$&   $-0.1150$&   $ 0.1070$&   $ 0.1440$&   $ 0.5000$&   $ 1.6200$&   $0.5850$\tabularnewline
\rowcolor[gray]{.9}   ~~84&   $ 26$&   $-1.5000$&   $-0.2500$&   $ 0.2500$&   $ 0.1850$&   $ 0.7190$&   $ 1.8200$&   $0.7630$\tabularnewline
   ~~90&   $ 41$&   $-0.7140$&   $-0.1250$&   $ 0.0000$&   $ 0.1300$&   $ 0.2500$&   $ 1.5000$&   $0.4850$\tabularnewline
\rowcolor[gray]{.9}   ~~96&   $ 40$&   $-1.1200$&   $-0.1250$&   $ 0.1250$&   $ 0.2730$&   $ 0.6250$&   $ 1.8600$&   $0.6480$\tabularnewline
   ~~102&   $ 20$&   $-0.5000$&   $-0.0625$&   $ 0.1880$&   $ 0.4560$&   $ 0.7500$&   $ 2.2500$&   $0.7940$\tabularnewline
\rowcolor[gray]{.9}   ~~108&   $  6$&   $-0.3750$&   $-0.1880$&   $ 0.1250$&   $ 0.1250$&   $ 0.4380$&   $ 0.6250$&   $0.4030$\tabularnewline
   ~~114&   $ 10$&   $-0.3750$&   $-0.0357$&   $ 0.1250$&   $ 0.1610$&   $ 0.1250$&   $ 1.3800$&   $0.4740$\tabularnewline
\rowcolor[gray]{.9}   ~~120&   $  5$&   $-0.1250$&   $ 0.1250$&   $ 0.3750$&   $ 0.4000$&   $ 0.7500$&   $ 0.8750$&   $0.4180$\tabularnewline
\hline
{\bfseries MCI}&&&&&&&&\tabularnewline
   ~~3&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~6&   $428$&   $-2.1200$&   $-0.3750$&   $-0.1250$&   $-0.1040$&   $ 0.2500$&   $ 1.6200$&   $0.5390$\tabularnewline
   ~~12&   $543$&   $-2.2500$&   $-0.3750$&   $ 0.0000$&   $-0.0614$&   $ 0.2500$&   $ 1.7500$&   $0.6030$\tabularnewline
\rowcolor[gray]{.9}   ~~18&   $  4$&   $-0.5000$&   $-0.2590$&   $ 0.1610$&   $ 0.1740$&   $ 0.5940$&   $ 0.8750$&   $0.6260$\tabularnewline
   ~~24&   $439$&   $-2.8800$&   $-0.3750$&   $ 0.0000$&   $-0.0316$&   $ 0.2680$&   $ 2.5000$&   $0.6470$\tabularnewline
\rowcolor[gray]{.9}   ~~30&   $  7$&   $ 0.0000$&   $ 0.3750$&   $ 0.6250$&   $ 0.6330$&   $ 0.9020$&   $ 1.2500$&   $0.4350$\tabularnewline
   ~~36&   $347$&   $-2.3800$&   $-0.3750$&   $ 0.0000$&   $-0.0355$&   $ 0.3750$&   $ 2.5000$&   $0.6280$\tabularnewline
\rowcolor[gray]{.9}   ~~42&   $  2$&   $-1.3800$&   $-1.0300$&   $-0.6880$&   $-0.6880$&   $-0.3440$&   $ 0.0000$&   $0.9720$\tabularnewline
   ~~48&   $247$&   $-2.5000$&   $-0.5000$&   $-0.1250$&   $-0.0915$&   $ 0.3750$&   $ 2.3600$&   $0.7290$\tabularnewline
\rowcolor[gray]{.9}   ~~54&   $  6$&   $-0.6610$&   $-0.2500$&   $-0.1880$&   $-0.1930$&   $-0.0312$&   $ 0.1250$&   $0.2710$\tabularnewline
   ~~60&   $123$&   $-1.5000$&   $-0.3750$&   $ 0.0000$&   $ 0.0180$&   $ 0.5000$&   $ 1.3800$&   $0.6000$\tabularnewline
\rowcolor[gray]{.9}   ~~66&   $ 33$&   $-1.2500$&   $-0.5000$&   $-0.1250$&   $-0.0218$&   $ 0.3750$&   $ 1.7500$&   $0.7210$\tabularnewline
   ~~72&   $ 66$&   $-1.7500$&   $-0.3440$&   $ 0.0000$&   $ 0.0736$&   $ 0.4690$&   $ 1.7500$&   $0.7160$\tabularnewline
\rowcolor[gray]{.9}   ~~78&   $ 38$&   $-2.1200$&   $-0.2500$&   $-0.1250$&   $-0.0254$&   $ 0.2500$&   $ 2.0000$&   $0.6940$\tabularnewline
   ~~84&   $ 56$&   $-2.3800$&   $-0.3750$&   $-0.1250$&   $-0.0706$&   $ 0.2500$&   $ 1.6200$&   $0.7140$\tabularnewline
\rowcolor[gray]{.9}   ~~90&   $ 45$&   $-1.3800$&   $-0.3040$&   $-0.1250$&   $-0.0532$&   $ 0.2500$&   $ 2.2100$&   $0.6710$\tabularnewline
   ~~96&   $ 41$&   $-2.5000$&   $-0.5000$&   $-0.2500$&   $-0.1890$&   $ 0.2500$&   $ 1.6200$&   $0.6910$\tabularnewline
\rowcolor[gray]{.9}   ~~102&   $ 36$&   $-2.2500$&   $-0.6250$&   $-0.1250$&   $-0.2220$&   $ 0.1560$&   $ 1.2500$&   $0.6920$\tabularnewline
\hline
{\bfseries Dementia}&&&&&&&&\tabularnewline
   ~~108&   $ 33$&   $-2.2500$&   $-0.5000$&   $-0.1250$&   $-0.0808$&   $ 0.2500$&   $ 1.8800$&   $0.8770$\tabularnewline
\rowcolor[gray]{.9}   ~~114&   $ 14$&   $-1.0000$&   $-0.1880$&   $ 0.4380$&   $ 0.2680$&   $ 0.7500$&   $ 1.2500$&   $0.6760$\tabularnewline
   ~~120&   $ 15$&   $-1.8800$&   $-0.6250$&   $-0.2500$&   $-0.1170$&   $ 0.1250$&   $ 1.6200$&   $0.8910$\tabularnewline
\rowcolor[gray]{.9}   ~~126&   $  4$&   $-0.5000$&   $-0.4060$&   $-0.3750$&   $-0.2500$&   $-0.2190$&   $ 0.2500$&   $0.3390$\tabularnewline
   ~~132&   $  3$&   $-0.3750$&   $-0.3750$&   $-0.3750$&   $-0.3330$&   $-0.3120$&   $-0.2500$&   $0.0722$\tabularnewline
\rowcolor[gray]{.9}   ~~3&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~6&   $124$&   $-1.8800$&   $-0.4060$&   $ 0.0000$&   $-0.0592$&   $ 0.3750$&   $ 1.7500$&   $0.7250$\tabularnewline
\rowcolor[gray]{.9}   ~~12&   $128$&   $-2.0000$&   $-0.4600$&   $-0.0179$&   $-0.1230$&   $ 0.3750$&   $ 2.0000$&   $0.7370$\tabularnewline
   ~~18&   $  1$&   $ 0.0000$&   $ 0.0000$&   $ 0.0000$&   $ 0.0000$&   $ 0.0000$&   $ 0.0000$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~24&   $ 39$&   $-1.7500$&   $-0.5000$&   $-0.1250$&   $-0.1170$&   $ 0.2500$&   $ 2.1200$&   $0.7350$\tabularnewline
   ~~30&   $  2$&   $-0.5000$&   $-0.2190$&   $ 0.0625$&   $ 0.0625$&   $ 0.3440$&   $ 0.6250$&   $0.7950$\tabularnewline
\rowcolor[gray]{.9}   ~~36&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~42&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~48&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~54&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~60&   $  1$&   $-0.8750$&   $-0.8750$&   $-0.8750$&   $-0.8750$&   $-0.8750$&   $-0.8750$&   $$\tabularnewline
   ~~66&   $  1$&   $-0.0357$&   $-0.0357$&   $-0.0357$&   $-0.0357$&   $-0.0357$&   $-0.0357$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~72&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~78&   $  1$&   $-0.8750$&   $-0.8750$&   $-0.8750$&   $-0.8750$&   $-0.8750$&   $-0.8750$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~84&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~90&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~96&   $  1$&   $-1.6200$&   $-1.6200$&   $-1.6200$&   $-1.6200$&   $-1.6200$&   $-1.6200$&   $$\tabularnewline
   ~~102&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\hline
\end{tabular}\end{center}
\end{table}


\clearpage
\subsection{ SP ECog - Mem change from baseline}

%latex.default(tab[, -(1:2)], file = "", rowlabel = "Month", rowname = tab[,     1], rgroup = unique(tab[, 2]), n.rgroup = table(tab[, 2]),     digits = 3, where = "h!", rownamesTexCmd = rcmd, label = paste("long",         oc, sep = ""))%
\begin{table}[h!]
\begin{center}
\begin{tabular}{lrrrrrrrr}
\hline\hline
\multicolumn{1}{l}{Month}&\multicolumn{1}{c}{N}&\multicolumn{1}{c}{Min.}&\multicolumn{1}{c}{Q.1}&\multicolumn{1}{c}{Median}&\multicolumn{1}{c}{Mean}&\multicolumn{1}{c}{Q.3}&\multicolumn{1}{c}{Max.}&\multicolumn{1}{c}{SD}\tabularnewline
\hline
{\bfseries CN}&&&&&&&&\tabularnewline
\rowcolor[gray]{.9}   ~~3&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~6&   $263$&   $-1.380$&   $-0.1250$&   $ 0.0000$&   $ 0.01720$&   $ 0.125$&   $ 1.620$&   $0.361$\tabularnewline
\rowcolor[gray]{.9}   ~~12&   $260$&   $-1.500$&   $-0.1250$&   $ 0.0000$&   $ 0.04130$&   $ 0.250$&   $ 2.120$&   $0.407$\tabularnewline
   ~~18&   $  4$&   $-0.714$&   $-0.3660$&   $-0.0625$&   $-0.08480$&   $ 0.219$&   $ 0.500$&   $0.519$\tabularnewline
\rowcolor[gray]{.9}   ~~24&   $383$&   $-1.500$&   $-0.1250$&   $ 0.0000$&   $ 0.04890$&   $ 0.250$&   $ 2.120$&   $0.425$\tabularnewline
   ~~30&   $ 29$&   $-0.375$&   $ 0.0000$&   $ 0.0000$&   $ 0.12100$&   $ 0.125$&   $ 2.120$&   $0.431$\tabularnewline
\rowcolor[gray]{.9}   ~~36&   $ 53$&   $-1.380$&   $-0.1250$&   $ 0.0000$&   $ 0.14400$&   $ 0.300$&   $ 2.120$&   $0.581$\tabularnewline
   ~~42&   $  7$&   $-0.714$&   $-0.1250$&   $ 0.0000$&   $-0.07650$&   $ 0.000$&   $ 0.429$&   $0.345$\tabularnewline
\rowcolor[gray]{.9}   ~~48&   $152$&   $-1.250$&   $-0.1290$&   $ 0.0000$&   $ 0.10000$&   $ 0.250$&   $ 2.120$&   $0.488$\tabularnewline
   ~~54&   $ 21$&   $-0.500$&   $ 0.0000$&   $ 0.1250$&   $ 0.18000$&   $ 0.375$&   $ 1.040$&   $0.432$\tabularnewline
\rowcolor[gray]{.9}   ~~60&   $ 30$&   $-0.750$&   $-0.2500$&   $ 0.0000$&   $ 0.18800$&   $ 0.375$&   $ 2.460$&   $0.713$\tabularnewline
   ~~66&   $ 51$&   $-0.625$&   $ 0.0000$&   $ 0.1250$&   $ 0.19800$&   $ 0.438$&   $ 1.500$&   $0.508$\tabularnewline
\rowcolor[gray]{.9}   ~~72&   $ 62$&   $-1.500$&   $-0.1250$&   $ 0.0000$&   $ 0.23000$&   $ 0.469$&   $ 2.250$&   $0.650$\tabularnewline
   ~~78&   $ 51$&   $-2.380$&   $-0.1250$&   $ 0.1250$&   $ 0.17700$&   $ 0.375$&   $ 2.750$&   $0.788$\tabularnewline
\rowcolor[gray]{.9}   ~~84&   $ 25$&   $-0.750$&   $-0.2500$&   $ 0.0000$&   $ 0.32000$&   $ 0.500$&   $ 2.750$&   $0.879$\tabularnewline
   ~~90&   $ 41$&   $-0.589$&   $-0.1250$&   $ 0.1250$&   $ 0.31800$&   $ 0.625$&   $ 2.250$&   $0.613$\tabularnewline
\rowcolor[gray]{.9}   ~~96&   $ 38$&   $-1.380$&   $-0.2500$&   $ 0.0000$&   $ 0.25900$&   $ 0.500$&   $ 3.000$&   $0.843$\tabularnewline
   ~~102&   $ 19$&   $-0.125$&   $ 0.0000$&   $ 0.3750$&   $ 0.65800$&   $ 1.190$&   $ 3.000$&   $0.871$\tabularnewline
\rowcolor[gray]{.9}   ~~108&   $  7$&   $-0.375$&   $ 0.0000$&   $ 0.1250$&   $ 0.60700$&   $ 0.875$&   $ 2.750$&   $1.060$\tabularnewline
   ~~114&   $ 10$&   $-0.250$&   $ 0.0625$&   $ 0.5620$&   $ 0.86600$&   $ 1.220$&   $ 2.750$&   $1.100$\tabularnewline
\rowcolor[gray]{.9}   ~~120&   $  6$&   $-0.250$&   $ 0.0000$&   $ 0.2500$&   $ 0.60400$&   $ 1.060$&   $ 2.120$&   $0.917$\tabularnewline
\hline
{\bfseries MCI}&&&&&&&&\tabularnewline
   ~~3&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~6&   $424$&   $-1.880$&   $-0.2500$&   $ 0.0000$&   $ 0.00345$&   $ 0.375$&   $ 2.120$&   $0.561$\tabularnewline
   ~~12&   $538$&   $-2.750$&   $-0.2500$&   $ 0.0000$&   $ 0.01260$&   $ 0.313$&   $ 2.250$&   $0.585$\tabularnewline
\rowcolor[gray]{.9}   ~~18&   $  4$&   $-0.250$&   $-0.1700$&   $ 0.0536$&   $ 0.02680$&   $ 0.250$&   $ 0.250$&   $0.261$\tabularnewline
   ~~24&   $441$&   $-1.880$&   $-0.2500$&   $ 0.0000$&   $ 0.10000$&   $ 0.500$&   $ 2.120$&   $0.643$\tabularnewline
\rowcolor[gray]{.9}   ~~30&   $  8$&   $-1.750$&   $-0.2010$&   $ 0.0000$&   $ 0.09150$&   $ 0.344$&   $ 2.120$&   $1.080$\tabularnewline
   ~~36&   $345$&   $-2.250$&   $-0.2500$&   $ 0.1250$&   $ 0.15800$&   $ 0.500$&   $ 2.140$&   $0.712$\tabularnewline
\rowcolor[gray]{.9}   ~~42&   $  2$&   $-0.625$&   $-0.5310$&   $-0.4380$&   $-0.43800$&   $-0.344$&   $-0.250$&   $0.265$\tabularnewline
   ~~48&   $243$&   $-1.750$&   $-0.2500$&   $ 0.1250$&   $ 0.21800$&   $ 0.500$&   $ 2.880$&   $0.716$\tabularnewline
\rowcolor[gray]{.9}   ~~54&   $  6$&   $-0.125$&   $ 0.0625$&   $ 0.5000$&   $ 0.58300$&   $ 0.938$&   $ 1.620$&   $0.669$\tabularnewline
   ~~60&   $119$&   $-1.620$&   $-0.1790$&   $ 0.1250$&   $ 0.26600$&   $ 0.625$&   $ 2.500$&   $0.797$\tabularnewline
\rowcolor[gray]{.9}   ~~66&   $ 37$&   $-0.875$&   $-0.1250$&   $ 0.1250$&   $ 0.24400$&   $ 0.500$&   $ 1.620$&   $0.603$\tabularnewline
   ~~72&   $ 64$&   $-1.620$&   $-0.1250$&   $ 0.1250$&   $ 0.24900$&   $ 0.625$&   $ 2.290$&   $0.704$\tabularnewline
\rowcolor[gray]{.9}   ~~78&   $ 43$&   $-1.120$&   $-0.3750$&   $ 0.0000$&   $ 0.09980$&   $ 0.438$&   $ 2.000$&   $0.755$\tabularnewline
   ~~84&   $ 58$&   $-1.120$&   $-0.1250$&   $ 0.1250$&   $ 0.38400$&   $ 0.979$&   $ 2.500$&   $0.825$\tabularnewline
\rowcolor[gray]{.9}   ~~90&   $ 46$&   $-1.250$&   $-0.4690$&   $ 0.0000$&   $ 0.10700$&   $ 0.500$&   $ 2.170$&   $0.761$\tabularnewline
   ~~96&   $ 41$&   $-1.250$&   $-0.1250$&   $ 0.3750$&   $ 0.37400$&   $ 0.750$&   $ 2.380$&   $0.726$\tabularnewline
\rowcolor[gray]{.9}   ~~102&   $ 35$&   $-2.000$&   $-0.3750$&   $ 0.0000$&   $ 0.07450$&   $ 0.562$&   $ 2.000$&   $0.818$\tabularnewline
\hline
{\bfseries Dementia}&&&&&&&&\tabularnewline
   ~~108&   $ 36$&   $-0.625$&   $-0.2500$&   $ 0.1250$&   $ 0.35400$&   $ 0.750$&   $ 2.500$&   $0.814$\tabularnewline
\rowcolor[gray]{.9}   ~~114&   $ 14$&   $-0.857$&   $-0.0938$&   $ 0.5620$&   $ 0.36400$&   $ 0.750$&   $ 1.620$&   $0.673$\tabularnewline
   ~~120&   $ 15$&   $-0.500$&   $-0.1250$&   $ 0.0000$&   $ 0.20400$&   $ 0.438$&   $ 1.500$&   $0.570$\tabularnewline
\rowcolor[gray]{.9}   ~~126&   $  4$&   $-0.125$&   $ 0.6250$&   $ 1.0000$&   $ 0.90600$&   $ 1.280$&   $ 1.750$&   $0.780$\tabularnewline
   ~~132&   $  3$&   $-0.375$&   $-0.3120$&   $-0.2500$&   $-0.25000$&   $-0.188$&   $-0.125$&   $0.125$\tabularnewline
\rowcolor[gray]{.9}   ~~3&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~6&   $130$&   $-2.750$&   $-0.2500$&   $ 0.0000$&   $ 0.04210$&   $ 0.479$&   $ 1.620$&   $0.616$\tabularnewline
\rowcolor[gray]{.9}   ~~12&   $147$&   $-1.000$&   $ 0.0000$&   $ 0.1250$&   $ 0.22700$&   $ 0.500$&   $ 2.120$&   $0.495$\tabularnewline
   ~~18&   $  3$&   $-1.620$&   $-0.5620$&   $ 0.5000$&   $-0.16700$&   $ 0.562$&   $ 0.625$&   $1.260$\tabularnewline
\rowcolor[gray]{.9}   ~~24&   $ 51$&   $-1.750$&   $-0.0625$&   $ 0.1250$&   $ 0.14700$&   $ 0.375$&   $ 1.750$&   $0.644$\tabularnewline
   ~~30&   $  3$&   $ 0.000$&   $ 0.1250$&   $ 0.2500$&   $ 0.50000$&   $ 0.750$&   $ 1.250$&   $0.661$\tabularnewline
\rowcolor[gray]{.9}   ~~36&   $  1$&   $ 0.000$&   $ 0.0000$&   $ 0.0000$&   $ 0.00000$&   $ 0.000$&   $ 0.000$&   $$\tabularnewline
   ~~42&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~48&   $  1$&   $ 0.000$&   $ 0.0000$&   $ 0.0000$&   $ 0.00000$&   $ 0.000$&   $ 0.000$&   $$\tabularnewline
   ~~54&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~60&   $  3$&   $ 0.125$&   $ 0.6250$&   $ 1.1200$&   $ 1.12000$&   $ 1.620$&   $ 2.120$&   $1.000$\tabularnewline
   ~~66&   $  1$&   $ 0.000$&   $ 0.0000$&   $ 0.0000$&   $ 0.00000$&   $ 0.000$&   $ 0.000$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~72&   $  1$&   $ 1.120$&   $ 1.1200$&   $ 1.1200$&   $ 1.12000$&   $ 1.120$&   $ 1.120$&   $$\tabularnewline
   ~~78&   $  3$&   $ 0.000$&   $ 0.9110$&   $ 1.8200$&   $ 1.32000$&   $ 1.970$&   $ 2.120$&   $1.150$\tabularnewline
\rowcolor[gray]{.9}   ~~84&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~90&   $  1$&   $ 0.000$&   $ 0.0000$&   $ 0.0000$&   $ 0.00000$&   $ 0.000$&   $ 0.000$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~96&   $  1$&   $ 2.000$&   $ 2.0000$&   $ 2.0000$&   $ 2.00000$&   $ 2.000$&   $ 2.000$&   $$\tabularnewline
   ~~102&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\hline
\end{tabular}\end{center}
\end{table}


\clearpage
\subsection{ Pt ECog - Total change from baseline}

%latex.default(tab[, -(1:2)], file = "", rowlabel = "Month", rowname = tab[,     1], rgroup = unique(tab[, 2]), n.rgroup = table(tab[, 2]),     digits = 3, where = "h!", rownamesTexCmd = rcmd, label = paste("long",         oc, sep = ""))%
\begin{table}[h!]
\begin{center}
\begin{tabular}{lrrrrrrrr}
\hline\hline
\multicolumn{1}{l}{Month}&\multicolumn{1}{c}{N}&\multicolumn{1}{c}{Min.}&\multicolumn{1}{c}{Q.1}&\multicolumn{1}{c}{Median}&\multicolumn{1}{c}{Mean}&\multicolumn{1}{c}{Q.3}&\multicolumn{1}{c}{Max.}&\multicolumn{1}{c}{SD}\tabularnewline
\hline
{\bfseries CN}&&&&&&&&\tabularnewline
\rowcolor[gray]{.9}   ~~3&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~6&   $273$&   $-1.1400$&   $-0.103000$&   $ 0.00000$&   $ 0.01780$&   $ 0.1280$&   $ 0.8210$&   $0.253$\tabularnewline
\rowcolor[gray]{.9}   ~~12&   $266$&   $-0.7510$&   $-0.103000$&   $ 0.00000$&   $ 0.02660$&   $ 0.1280$&   $ 1.4600$&   $0.248$\tabularnewline
   ~~18&   $  4$&   $-0.7890$&   $-0.355000$&   $-0.10500$&   $-0.01970$&   $ 0.2300$&   $ 0.9210$&   $0.710$\tabularnewline
\rowcolor[gray]{.9}   ~~24&   $401$&   $-1.3400$&   $-0.103000$&   $ 0.00000$&   $ 0.02130$&   $ 0.1320$&   $ 1.1800$&   $0.294$\tabularnewline
   ~~30&   $ 31$&   $-0.6580$&   $-0.254000$&   $-0.07890$&   $-0.08740$&   $ 0.0395$&   $ 0.4210$&   $0.230$\tabularnewline
\rowcolor[gray]{.9}   ~~36&   $ 57$&   $-0.5260$&   $-0.078900$&   $ 0.00000$&   $ 0.07110$&   $ 0.1840$&   $ 1.2400$&   $0.281$\tabularnewline
   ~~42&   $  7$&   $-0.6580$&   $-0.372000$&   $-0.04390$&   $-0.18500$&   $-0.0171$&   $ 0.1840$&   $0.320$\tabularnewline
\rowcolor[gray]{.9}   ~~48&   $161$&   $-0.9850$&   $-0.103000$&   $ 0.02560$&   $ 0.04600$&   $ 0.1790$&   $ 1.7200$&   $0.316$\tabularnewline
   ~~54&   $ 21$&   $-0.6950$&   $-0.087700$&   $ 0.09850$&   $ 0.11300$&   $ 0.2720$&   $ 0.8240$&   $0.365$\tabularnewline
\rowcolor[gray]{.9}   ~~60&   $ 31$&   $-0.7250$&   $-0.068500$&   $ 0.13200$&   $ 0.10500$&   $ 0.3080$&   $ 0.6940$&   $0.317$\tabularnewline
   ~~66&   $ 53$&   $-0.3540$&   $ 0.004050$&   $ 0.09530$&   $ 0.14200$&   $ 0.2110$&   $ 0.9300$&   $0.253$\tabularnewline
\rowcolor[gray]{.9}   ~~72&   $ 63$&   $-1.0100$&   $-0.044900$&   $ 0.10700$&   $ 0.09230$&   $ 0.2190$&   $ 1.0300$&   $0.331$\tabularnewline
   ~~78&   $ 50$&   $-0.5750$&   $-0.067900$&   $ 0.06080$&   $ 0.11500$&   $ 0.2700$&   $ 1.3000$&   $0.345$\tabularnewline
\rowcolor[gray]{.9}   ~~84&   $ 26$&   $-0.7840$&   $-0.092100$&   $ 0.15600$&   $ 0.12900$&   $ 0.3240$&   $ 1.0500$&   $0.423$\tabularnewline
   ~~90&   $ 41$&   $-0.4210$&   $-0.025600$&   $ 0.08300$&   $ 0.15600$&   $ 0.2410$&   $ 1.1600$&   $0.323$\tabularnewline
\rowcolor[gray]{.9}   ~~96&   $ 40$&   $-1.1100$&   $-0.039800$&   $ 0.10400$&   $ 0.14100$&   $ 0.2340$&   $ 1.1100$&   $0.374$\tabularnewline
   ~~102&   $ 20$&   $-0.1770$&   $ 0.002020$&   $ 0.10800$&   $ 0.46200$&   $ 0.6450$&   $ 2.6400$&   $0.764$\tabularnewline
\rowcolor[gray]{.9}   ~~108&   $  6$&   $-0.2540$&   $-0.089900$&   $ 0.17600$&   $ 0.13700$&   $ 0.3850$&   $ 0.4450$&   $0.296$\tabularnewline
   ~~114&   $ 10$&   $-0.0236$&   $ 0.000169$&   $ 0.04250$&   $ 0.13800$&   $ 0.0903$&   $ 0.5830$&   $0.233$\tabularnewline
\rowcolor[gray]{.9}   ~~120&   $  5$&   $-0.0688$&   $-0.044500$&   $ 0.08100$&   $ 0.14300$&   $ 0.2110$&   $ 0.5370$&   $0.247$\tabularnewline
\hline
{\bfseries MCI}&&&&&&&&\tabularnewline
   ~~3&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~6&   $430$&   $-2.0800$&   $-0.219000$&   $-0.02630$&   $-0.03500$&   $ 0.1500$&   $ 1.5900$&   $0.376$\tabularnewline
   ~~12&   $546$&   $-1.6900$&   $-0.231000$&   $-0.02430$&   $-0.02130$&   $ 0.1840$&   $ 1.6700$&   $0.396$\tabularnewline
\rowcolor[gray]{.9}   ~~18&   $  4$&   $ 0.2370$&   $ 0.247000$&   $ 0.32900$&   $ 0.33500$&   $ 0.4170$&   $ 0.4470$&   $0.108$\tabularnewline
   ~~24&   $441$&   $-1.6900$&   $-0.205000$&   $ 0.00000$&   $ 0.02530$&   $ 0.2370$&   $ 1.7400$&   $0.451$\tabularnewline
\rowcolor[gray]{.9}   ~~30&   $  7$&   $-0.1580$&   $ 0.090500$&   $ 0.32400$&   $ 0.28300$&   $ 0.4360$&   $ 0.7630$&   $0.304$\tabularnewline
   ~~36&   $343$&   $-1.7300$&   $-0.204000$&   $ 0.01870$&   $ 0.04510$&   $ 0.2910$&   $ 1.9900$&   $0.452$\tabularnewline
\rowcolor[gray]{.9}   ~~42&   $  2$&   $-0.6580$&   $-0.548000$&   $-0.43800$&   $-0.43800$&   $-0.3280$&   $-0.2180$&   $0.311$\tabularnewline
   ~~48&   $246$&   $-2.3100$&   $-0.247000$&   $ 0.02560$&   $ 0.03520$&   $ 0.3270$&   $ 2.7100$&   $0.533$\tabularnewline
\rowcolor[gray]{.9}   ~~54&   $  6$&   $-0.3330$&   $ 0.015500$&   $ 0.11100$&   $ 0.18000$&   $ 0.2300$&   $ 0.9400$&   $0.422$\tabularnewline
   ~~60&   $122$&   $-1.2100$&   $-0.157000$&   $ 0.03850$&   $ 0.06700$&   $ 0.3280$&   $ 1.1300$&   $0.435$\tabularnewline
\rowcolor[gray]{.9}   ~~66&   $ 32$&   $-1.0900$&   $-0.200000$&   $-0.01010$&   $ 0.07280$&   $ 0.2130$&   $ 1.4800$&   $0.503$\tabularnewline
   ~~72&   $ 66$&   $-0.9710$&   $-0.143000$&   $ 0.09420$&   $ 0.09120$&   $ 0.3790$&   $ 0.8780$&   $0.427$\tabularnewline
\rowcolor[gray]{.9}   ~~78&   $ 38$&   $-1.1300$&   $-0.187000$&   $-0.01250$&   $ 0.04180$&   $ 0.1600$&   $ 1.6000$&   $0.521$\tabularnewline
   ~~84&   $ 56$&   $-1.0700$&   $-0.199000$&   $ 0.00742$&   $ 0.03030$&   $ 0.2090$&   $ 1.3800$&   $0.481$\tabularnewline
\rowcolor[gray]{.9}   ~~90&   $ 45$&   $-1.0900$&   $-0.089600$&   $ 0.02850$&   $ 0.07000$&   $ 0.2680$&   $ 2.5900$&   $0.528$\tabularnewline
   ~~96&   $ 41$&   $-1.0900$&   $-0.251000$&   $-0.10100$&   $-0.00312$&   $ 0.1730$&   $ 1.4100$&   $0.464$\tabularnewline
\rowcolor[gray]{.9}   ~~102&   $ 36$&   $-0.8740$&   $-0.341000$&   $ 0.05110$&   $-0.04090$&   $ 0.1530$&   $ 0.6150$&   $0.367$\tabularnewline
\hline
{\bfseries Dementia}&&&&&&&&\tabularnewline
   ~~108&   $ 33$&   $-0.8620$&   $-0.237000$&   $ 0.00925$&   $ 0.05880$&   $ 0.3040$&   $ 1.4700$&   $0.515$\tabularnewline
\rowcolor[gray]{.9}   ~~114&   $ 14$&   $-0.5410$&   $-0.057700$&   $ 0.32100$&   $ 0.28800$&   $ 0.7300$&   $ 1.0200$&   $0.485$\tabularnewline
   ~~120&   $ 15$&   $-1.3700$&   $-0.356000$&   $-0.02500$&   $-0.07390$&   $ 0.2130$&   $ 1.3800$&   $0.631$\tabularnewline
\rowcolor[gray]{.9}   ~~126&   $  4$&   $-0.8180$&   $-0.145000$&   $ 0.12100$&   $-0.03220$&   $ 0.2340$&   $ 0.4470$&   $0.547$\tabularnewline
   ~~132&   $  3$&   $-0.3420$&   $-0.307000$&   $-0.27100$&   $-0.25200$&   $-0.2070$&   $-0.1420$&   $0.101$\tabularnewline
\rowcolor[gray]{.9}   ~~3&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~6&   $120$&   $-1.6900$&   $-0.298000$&   $ 0.02320$&   $-0.01190$&   $ 0.2840$&   $ 1.5100$&   $0.554$\tabularnewline
\rowcolor[gray]{.9}   ~~12&   $125$&   $-1.3800$&   $-0.342000$&   $-0.00427$&   $ 0.00317$&   $ 0.2890$&   $ 2.1000$&   $0.551$\tabularnewline
   ~~18&   $  1$&   $-0.0263$&   $-0.026300$&   $-0.02630$&   $-0.02630$&   $-0.0263$&   $-0.0263$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~24&   $ 39$&   $-1.4300$&   $-0.169000$&   $ 0.04500$&   $ 0.08480$&   $ 0.4080$&   $ 2.3200$&   $0.616$\tabularnewline
   ~~30&   $  2$&   $ 0.3310$&   $ 0.386000$&   $ 0.44200$&   $ 0.44200$&   $ 0.4970$&   $ 0.5530$&   $0.157$\tabularnewline
\rowcolor[gray]{.9}   ~~36&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~42&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~48&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~54&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~60&   $  1$&   $-0.5430$&   $-0.543000$&   $-0.54300$&   $-0.54300$&   $-0.5430$&   $-0.5430$&   $$\tabularnewline
   ~~66&   $  1$&   $ 0.0535$&   $ 0.053500$&   $ 0.05350$&   $ 0.05350$&   $ 0.0535$&   $ 0.0535$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~72&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~78&   $  1$&   $-0.1910$&   $-0.191000$&   $-0.19100$&   $-0.19100$&   $-0.1910$&   $-0.1910$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~84&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~90&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~96&   $  1$&   $-0.6130$&   $-0.613000$&   $-0.61300$&   $-0.61300$&   $-0.6130$&   $-0.6130$&   $$\tabularnewline
   ~~102&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\hline
\end{tabular}\end{center}
\end{table}


\clearpage
\subsection{ SP ECog - Total change from baseline}

%latex.default(tab[, -(1:2)], file = "", rowlabel = "Month", rowname = tab[,     1], rgroup = unique(tab[, 2]), n.rgroup = table(tab[, 2]),     digits = 3, where = "h!", rownamesTexCmd = rcmd, label = paste("long",         oc, sep = ""))%
\begin{table}[h!]
\begin{center}
\begin{tabular}{lrrrrrrrr}
\hline\hline
\multicolumn{1}{l}{Month}&\multicolumn{1}{c}{N}&\multicolumn{1}{c}{Min.}&\multicolumn{1}{c}{Q.1}&\multicolumn{1}{c}{Median}&\multicolumn{1}{c}{Mean}&\multicolumn{1}{c}{Q.3}&\multicolumn{1}{c}{Max.}&\multicolumn{1}{c}{SD}\tabularnewline
\hline
{\bfseries CN}&&&&&&&&\tabularnewline
\rowcolor[gray]{.9}   ~~3&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~6&   $265$&   $-0.8790$&   $-0.051300$&   $ 0.000000$&   $ 0.00909$&   $ 0.0769$&   $ 0.8460$&   $0.1930$\tabularnewline
\rowcolor[gray]{.9}   ~~12&   $260$&   $-1.2100$&   $-0.030900$&   $ 0.000000$&   $ 0.03960$&   $ 0.0979$&   $ 1.6200$&   $0.2570$\tabularnewline
   ~~18&   $  4$&   $-0.4060$&   $-0.240000$&   $-0.078900$&   $-0.06630$&   $ 0.0944$&   $ 0.2990$&   $0.3010$\tabularnewline
\rowcolor[gray]{.9}   ~~24&   $383$&   $-1.1300$&   $-0.052000$&   $ 0.000000$&   $ 0.04300$&   $ 0.1030$&   $ 2.0000$&   $0.2770$\tabularnewline
   ~~30&   $ 29$&   $-0.3160$&   $ 0.000000$&   $ 0.000000$&   $ 0.04390$&   $ 0.0555$&   $ 1.1100$&   $0.2390$\tabularnewline
\rowcolor[gray]{.9}   ~~36&   $ 53$&   $-1.3300$&   $-0.026300$&   $ 0.051300$&   $ 0.14500$&   $ 0.1840$&   $ 2.0500$&   $0.4900$\tabularnewline
   ~~42&   $  7$&   $-0.4320$&   $ 0.000000$&   $ 0.000000$&   $ 0.02780$&   $ 0.1950$&   $ 0.2370$&   $0.2300$\tabularnewline
\rowcolor[gray]{.9}   ~~48&   $153$&   $-1.0500$&   $-0.052600$&   $ 0.000000$&   $ 0.07410$&   $ 0.1030$&   $ 1.6800$&   $0.3390$\tabularnewline
   ~~54&   $ 21$&   $-0.3180$&   $-0.024300$&   $ 0.083300$&   $ 0.17100$&   $ 0.3030$&   $ 0.8470$&   $0.3030$\tabularnewline
\rowcolor[gray]{.9}   ~~60&   $ 30$&   $-0.5400$&   $-0.075400$&   $ 0.039800$&   $ 0.20900$&   $ 0.2050$&   $ 2.5400$&   $0.6470$\tabularnewline
   ~~66&   $ 51$&   $-0.5640$&   $ 0.000000$&   $ 0.032100$&   $ 0.13900$&   $ 0.2180$&   $ 1.4300$&   $0.3580$\tabularnewline
\rowcolor[gray]{.9}   ~~72&   $ 61$&   $-0.9940$&   $-0.051300$&   $ 0.052600$&   $ 0.18200$&   $ 0.2910$&   $ 2.5200$&   $0.5040$\tabularnewline
   ~~78&   $ 51$&   $-1.5400$&   $-0.048500$&   $ 0.052600$&   $ 0.20200$&   $ 0.2360$&   $ 2.9500$&   $0.6360$\tabularnewline
\rowcolor[gray]{.9}   ~~84&   $ 25$&   $-0.6460$&   $-0.103000$&   $ 0.000000$&   $ 0.27800$&   $ 0.2910$&   $ 2.4000$&   $0.7570$\tabularnewline
   ~~90&   $ 41$&   $-0.5640$&   $ 0.000000$&   $ 0.090500$&   $ 0.23000$&   $ 0.2630$&   $ 2.3000$&   $0.5270$\tabularnewline
\rowcolor[gray]{.9}   ~~96&   $ 39$&   $-0.9940$&   $-0.067000$&   $ 0.000675$&   $ 0.18700$&   $ 0.1750$&   $ 2.4700$&   $0.5810$\tabularnewline
   ~~102&   $ 19$&   $-0.0978$&   $ 0.013200$&   $ 0.158000$&   $ 0.45000$&   $ 0.6800$&   $ 2.4500$&   $0.6260$\tabularnewline
\rowcolor[gray]{.9}   ~~108&   $  7$&   $-0.1050$&   $ 0.000000$&   $ 0.267000$&   $ 0.55900$&   $ 0.4390$&   $ 2.8700$&   $1.0400$\tabularnewline
   ~~114&   $ 10$&   $-0.1120$&   $ 0.075200$&   $ 0.295000$&   $ 0.69700$&   $ 0.5130$&   $ 2.7400$&   $1.0800$\tabularnewline
\rowcolor[gray]{.9}   ~~120&   $  6$&   $-0.4590$&   $-0.075200$&   $ 0.175000$&   $ 0.13000$&   $ 0.2840$&   $ 0.7270$&   $0.4040$\tabularnewline
\hline
{\bfseries MCI}&&&&&&&&\tabularnewline
   ~~3&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~6&   $426$&   $-1.4600$&   $-0.167000$&   $ 0.020600$&   $ 0.05150$&   $ 0.2540$&   $ 1.9900$&   $0.4110$\tabularnewline
   ~~12&   $538$&   $-2.0400$&   $-0.131000$&   $ 0.051300$&   $ 0.08440$&   $ 0.2820$&   $ 2.0900$&   $0.4570$\tabularnewline
\rowcolor[gray]{.9}   ~~18&   $  4$&   $-0.0294$&   $ 0.000322$&   $ 0.097200$&   $ 0.16600$&   $ 0.2630$&   $ 0.5000$&   $0.2410$\tabularnewline
   ~~24&   $442$&   $-1.4100$&   $-0.114000$&   $ 0.113000$&   $ 0.18700$&   $ 0.3990$&   $ 2.4100$&   $0.5300$\tabularnewline
\rowcolor[gray]{.9}   ~~30&   $  8$&   $-0.9210$&   $-0.041800$&   $ 0.181000$&   $ 0.29900$&   $ 0.6580$&   $ 1.5900$&   $0.7440$\tabularnewline
   ~~36&   $344$&   $-2.1400$&   $-0.103000$&   $ 0.154000$&   $ 0.25800$&   $ 0.5270$&   $ 2.5100$&   $0.6150$\tabularnewline
\rowcolor[gray]{.9}   ~~42&   $  2$&   $-0.0931$&   $-0.069800$&   $-0.046500$&   $-0.04650$&   $-0.0233$&   $ 0.0000$&   $0.0658$\tabularnewline
   ~~48&   $243$&   $-2.1100$&   $-0.105000$&   $ 0.154000$&   $ 0.28500$&   $ 0.5810$&   $ 2.6200$&   $0.6550$\tabularnewline
\rowcolor[gray]{.9}   ~~54&   $  6$&   $-0.1010$&   $ 0.231000$&   $ 0.427000$&   $ 0.52400$&   $ 0.7840$&   $ 1.3200$&   $0.5070$\tabularnewline
   ~~60&   $119$&   $-1.0500$&   $-0.120000$&   $ 0.166000$&   $ 0.30800$&   $ 0.6530$&   $ 2.4000$&   $0.6770$\tabularnewline
\rowcolor[gray]{.9}   ~~66&   $ 37$&   $-0.6610$&   $-0.066300$&   $ 0.226000$&   $ 0.40700$&   $ 0.7650$&   $ 1.9100$&   $0.6540$\tabularnewline
   ~~72&   $ 64$&   $-1.1000$&   $-0.062600$&   $ 0.138000$&   $ 0.23000$&   $ 0.4970$&   $ 1.8300$&   $0.6000$\tabularnewline
\rowcolor[gray]{.9}   ~~78&   $ 43$&   $-1.0200$&   $-0.109000$&   $ 0.132000$&   $ 0.29300$&   $ 0.5500$&   $ 2.2500$&   $0.7170$\tabularnewline
   ~~84&   $ 58$&   $-1.3400$&   $-0.075100$&   $ 0.166000$&   $ 0.43700$&   $ 0.8380$&   $ 2.3000$&   $0.7820$\tabularnewline
\rowcolor[gray]{.9}   ~~90&   $ 46$&   $-0.9950$&   $ 0.000000$&   $ 0.148000$&   $ 0.30100$&   $ 0.3550$&   $ 2.4000$&   $0.7140$\tabularnewline
   ~~96&   $ 41$&   $-1.0800$&   $-0.037800$&   $ 0.122000$&   $ 0.47100$&   $ 0.8950$&   $ 2.3000$&   $0.7990$\tabularnewline
\rowcolor[gray]{.9}   ~~102&   $ 35$&   $-1.2100$&   $-0.165000$&   $ 0.230000$&   $ 0.29900$&   $ 0.6140$&   $ 2.5100$&   $0.7490$\tabularnewline
\hline
{\bfseries Dementia}&&&&&&&&\tabularnewline
   ~~108&   $ 36$&   $-0.5890$&   $-0.051600$&   $ 0.085400$&   $ 0.45700$&   $ 0.8660$&   $ 2.8200$&   $0.8540$\tabularnewline
\rowcolor[gray]{.9}   ~~114&   $ 14$&   $-0.4090$&   $ 0.022000$&   $ 0.436000$&   $ 0.43500$&   $ 0.7410$&   $ 1.5600$&   $0.5510$\tabularnewline
   ~~120&   $ 15$&   $-0.2570$&   $-0.050600$&   $ 0.026300$&   $ 0.12100$&   $ 0.1070$&   $ 1.1100$&   $0.3760$\tabularnewline
\rowcolor[gray]{.9}   ~~126&   $  4$&   $-0.1990$&   $-0.039600$&   $ 0.674000$&   $ 0.66600$&   $ 1.3800$&   $ 1.5200$&   $0.8840$\tabularnewline
   ~~132&   $  3$&   $-0.5140$&   $-0.372000$&   $-0.231000$&   $-0.04270$&   $ 0.1930$&   $ 0.6170$&   $0.5890$\tabularnewline
\rowcolor[gray]{.9}   ~~3&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~6&   $130$&   $-2.5000$&   $-0.147000$&   $ 0.126000$&   $ 0.10500$&   $ 0.4100$&   $ 1.3300$&   $0.5240$\tabularnewline
\rowcolor[gray]{.9}   ~~12&   $148$&   $-1.4600$&   $ 0.108000$&   $ 0.329000$&   $ 0.34500$&   $ 0.5950$&   $ 1.5700$&   $0.4500$\tabularnewline
   ~~18&   $  3$&   $-0.6440$&   $-0.042000$&   $ 0.560000$&   $ 0.47200$&   $ 1.0300$&   $ 1.5000$&   $1.0700$\tabularnewline
\rowcolor[gray]{.9}   ~~24&   $ 51$&   $-0.6490$&   $ 0.057800$&   $ 0.385000$&   $ 0.42200$&   $ 0.7740$&   $ 2.0800$&   $0.5670$\tabularnewline
   ~~30&   $  3$&   $ 0.5790$&   $ 0.690000$&   $ 0.801000$&   $ 0.82800$&   $ 0.9530$&   $ 1.1100$&   $0.2640$\tabularnewline
\rowcolor[gray]{.9}   ~~36&   $  1$&   $ 0.7560$&   $ 0.756000$&   $ 0.756000$&   $ 0.75600$&   $ 0.7560$&   $ 0.7560$&   $$\tabularnewline
   ~~42&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~48&   $  1$&   $ 0.7180$&   $ 0.718000$&   $ 0.718000$&   $ 0.71800$&   $ 0.7180$&   $ 0.7180$&   $$\tabularnewline
   ~~54&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~60&   $  3$&   $ 0.7180$&   $ 0.758000$&   $ 0.798000$&   $ 1.39000$&   $ 1.7200$&   $ 2.6400$&   $1.0900$\tabularnewline
   ~~66&   $  1$&   $-0.2410$&   $-0.241000$&   $-0.241000$&   $-0.24100$&   $-0.2410$&   $-0.2410$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~72&   $  1$&   $ 1.1300$&   $ 1.130000$&   $ 1.130000$&   $ 1.13000$&   $ 1.1300$&   $ 1.1300$&   $$\tabularnewline
   ~~78&   $  3$&   $ 0.6750$&   $ 0.973000$&   $ 1.270000$&   $ 1.54000$&   $ 1.9700$&   $ 2.6600$&   $1.0200$\tabularnewline
\rowcolor[gray]{.9}   ~~84&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
   ~~90&   $  1$&   $-0.0385$&   $-0.038500$&   $-0.038500$&   $-0.03850$&   $-0.0385$&   $-0.0385$&   $$\tabularnewline
\rowcolor[gray]{.9}   ~~96&   $  1$&   $ 1.5700$&   $ 1.570000$&   $ 1.570000$&   $ 1.57000$&   $ 1.5700$&   $ 1.5700$&   $$\tabularnewline
   ~~102&   $  0$&   $$&   $$&   $$&   $$&   $$&   $$&   $$\tabularnewline
\hline
\end{tabular}\end{center}
\end{table}

R Session Information

{r results = "markup" print(sessionInfo(), locale=FALSE)

ADNI1/GO/2 Enrollment

ATRI Biostatistics

ADNI enrollment summaries using the ADNIMERGE R package

Description

Load required R packages and functions

Demographic Summaries by Diagnosis

Baseline

Demographic Summaries by Diagnosis

Baseline

Baseline box plots

Baseline summary statistics

Longitudinal plots

R Session Information

Contents