[R-sig-ME] Repeated measures ANOVA using lmer, nlme, and geepack
Paul Miller
pjmiller_57 at yahoo.com
Wed Aug 10 23:33:14 CEST 2011
Hi John,
Thanks for your reply. Interestingly, the coefficients do not match (see below).
Hopefully, someone won't mind explaining why.
If not, I may figure it out at some point. I've been reading Data Analysis using Regression and Multilevel/Hierarchical Models by Gelman and Hill. I'm getting aquainted with my new cartoon character friends Elmer (lmer) and Bugs, and at some point it may become clear what is going on. At the moment though, the whole thing seems a bit Looney Tunes.
Paul
> model.un <- lme(ADASCOG ~ TREAT * MONTH, random = ~ 1 | PAT,
+ correlation=corSymm(form = ~ 1 | PAT),
+ data=unialz, na.action=na.omit)
> summary(model.un)
Fixed effects: ADASCOG ~ TREAT * MONTH
Value Std.Error DF t-value p-value
(Intercept) 41.35112 1.6602811 359 24.906097 0.0000
TREATHigh -5.62566 2.4823037 77 -2.266307 0.0262
TREATLow -3.52850 2.4265281 77 -1.454134 0.1500
MONTHADAS02 -9.41879 1.1007344 359 -8.556821 0.0000
MONTHADAS04 -6.48828 1.1776015 359 -5.509738 0.0000
MONTHADAS06 -4.69629 1.1362679 359 -4.133084 0.0000
MONTHADAS08 -2.19226 1.0765468 359 -2.036378 0.0424
MONTHADAS10 -1.50837 0.7758601 359 -1.944132 0.0527
TREATHigh:MONTHADAS02 5.10358 1.6322908 359 3.126637 0.0019
TREATLow:MONTHADAS02 2.83802 1.5963900 359 1.777776 0.0763
TREATHigh:MONTHADAS04 4.64845 1.7510112 359 2.654725 0.0083
TREATLow:MONTHADAS04 2.46563 1.7243495 359 1.429892 0.1536
TREATHigh:MONTHADAS06 4.59431 1.7116064 359 2.684209 0.0076
TREATLow:MONTHADAS06 2.91622 1.6535434 359 1.763618 0.0786
TREATHigh:MONTHADAS08 1.47826 1.5829411 359 0.933872 0.3510
TREATLow:MONTHADAS08 -0.86712 1.5609770 359 -0.555497 0.5789
TREATHigh:MONTHADAS10 0.83351 1.1515076 359 0.723841 0.4696
TREATLow:MONTHADAS10 0.61007 1.1416625 359 0.534368 0.5934
PROC MIXED DATA = UNIALZ;
CLASS TREAT MONTH PAT;
MODEL ADASCOG = TREAT MONTH TREAT*MONTH / S;
REPEATED / TYPE=UN SUBJECT=PAT RCORR;
RUN;
Solution for Fixed Effects
Standard
Effect TREAT MONTH Estimate Error DF t Value Pr > |t|
Intercept 41.5542 1.7842 77 23.29 <.0001
TREAT H -5.8322 2.6666 77 -2.19 0.0318
TREAT L -3.6540 2.6086 77 -1.40 0.1653
TREAT P 0 . . . .
MONTH 2 -9.4615 1.1800 77 -8.02 <.0001
MONTH 4 -6.7188 1.2828 77 -5.24 <.0001
MONTH 6 -4.8139 1.2488 77 -3.85 0.0002
MONTH 8 -2.3557 1.0647 77 -2.21 0.0299
MONTH 10 -1.7558 0.7352 77 -2.39 0.0194
MONTH 12 0 . . . .
TREAT*MONTH H 2 5.3228 1.7497 77 3.04 0.0032
TREAT*MONTH H 4 5.1414 1.9054 77 2.70 0.0086
TREAT*MONTH H 6 4.4064 1.8677 77 2.36 0.0209
TREAT*MONTH H 8 1.5921 1.5706 77 1.01 0.3139
TREAT*MONTH H 10 1.2032 1.0963 77 1.10 0.2758
TREAT*MONTH H 12 0 . . . .
TREAT*MONTH L 2 2.7943 1.7174 77 1.63 0.1078
TREAT*MONTH L 4 2.5602 1.8728 77 1.37 0.1756
TREAT*MONTH L 6 3.0176 1.8194 77 1.66 0.1013
TREAT*MONTH L 8 -0.7675 1.5415 77 -0.50 0.6200
TREAT*MONTH L 10 0.8356 1.0704 77 0.78 0.4374
TREAT*MONTH L 12 0 . . . .
TREAT*MONTH P 2 0 . . . .
TREAT*MONTH P 4 0 . . . .
TREAT*MONTH P 6 0 . . . .
TREAT*MONTH P 8 0 . . . .
TREAT*MONTH P 10 0 . . . .
TREAT*MONTH P 12 0 . . . .
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