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Thomas Stewart
2010-May-01 18:41 UTC
[R] binary logistic regression taking account clustering
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 <kendejan@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 indivifdual’s 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]]
David Freedman
2010-May-01 19:17 UTC
[R] binary logistic regression taking account clustering
The bootcov function for models fit using lrm in the rms package might also be an option hth -- View this message in context: http://r.789695.n4.nabble.com/binary-logistic-regression-taking-account-clustering-tp2122255p2122311.html Sent from the R help mailing list archive at Nabble.com.