Re: [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. _

Re: [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 wrote: > Hello > > I would like to perform with R, a binary logistic regression analysis > taking account clustering >

[R] binary logistic regression taking account clustering

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