See help(lmer, package="lme4")
for a mixed-effects model approach. See help(geeglm, package="geepack") for a GEE approach. -tgs On Sat, May 1, 2010 at 1:52 PM, kende jan <kende...@yahoo.fr> wrote: > Hello > > I would like to perform with R, a binary logistic regression analysis > taking account clustering > (A randomized trial into 2 groups, patients within 50 hospitals): > y (0,1) is the outcome > x1, x2 indivifduals characteristics > x3,x4 hospitals characteristics. > > Thanks in advance > > Jan > > > > [[alternative HTML version deleted]] > > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > > [[alternative HTML version deleted]]
______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
