search for: hedeker

...effects (fixed + random) analysis of data like this, possibly adjusting for an important covariate or two (assuming I had more studies, of course)...how would I go about doing it? One thought that I had would be to use a mixed effects multinomial logistic regression model, such as that reported by Hedeker (Stat Med 2003, 22: 1433), though I don't know if (or where) it is implemented in R. I am certain there are also other ways... So, my questions to the R experts are: 1) What method would you use to estimate or account for the between study variance in a dataset like the one above that would...

Is there a way to fit mixed proportional odds models in R? -- Using Opera's revolutionary e-mail client: http://www.opera.com/m2/

...As apparent on the following output, I am trying unsuccessfully to run glmm following strictly the example accompanying repeated package. I was able to get it from http://microarrays.unife.it/bioc-mirror/lindsey/stable/src/contrib/html/ > riesby<-read.table("http://tigger.uic.edu/~hedeker/RIESBY.DAT.txt") Warning message: number of items read is not a multiple of the number of columns > riesby<-riesby[1:396,] > id<-factor(riesby[,1]) > hamD<-riesby[,2] > intcpt<-riesby[,3] > week<-factor(riesby[,4]) > endog<-riesby[,5] > endweek<-riesb...

Hello Running R2.9.2 on Windows XP I am puzzled by the performance of LME in situations where there are missing data. As I understand it, one of the strengths of this sort of model is how well it deals with missing data, yet lme requires nonmissing data. Thus, m1.mod1 <- lme(fixed = math_1 ~ I(year-2007.5)*TFC_, data = long, random =