Re: [R] Partial Likelihood

Thank you for your comment. I suspected that a model with well defined predictors should work fine with a glm procedure. Thanks again K -- View this message in context: http://r.789695.n4.nabble.com/Partial-Likelihood-tp4639159p4639185.html Sent from the R help mailing list archive at Nabble.

Re: [R] Partial Likelihood

Joshua Wiley gmail.com> writes: > > In addition to Bert's suggestion of r sig mixed models > (which I second), I would encourage you to create a > more detailed example and explanation of what you hope to accomplish. > Sounds a bit like an auto regressive > structure, but more details would be

Re: [R] Partial Likelihood

In addition to Bert's suggestion of r sig mixed models (which I second), I would encourage you to create a more detailed example and explanation of what you hope to accomplish. Sounds a bit like an auto regressive structure, but more details would be good. Cheers, Josh On Aug 4, 2012, at 9:34

Re: [R] Partial Likelihood

Sounds like generalized linear mixed modeling (glmm) to me. Try posting to the r-sig-mixed-models list rather than here to increase the likelihood of a useful response. -- Bert On Sat, Aug 4, 2012 at 3:55 AM, doctoratza wrote: > Hello everyone, > > i would like to ask if everyone knows how to pe

[R] Partial Likelihood

Hello everyone, i would like to ask if everyone knows how to perfom a glm partial likelihood estimation in a time series whrere dependence exists. lets say that i want to perform a logistic regression for binary data (0, 1) with binary responses which a re the previous days. for example: logis

[R] partial likelihood device

Hello, I would like to get the partial likelihood device. fit <- coxph(Surv(stop,event)~rx+size+number,data=bladder) Does fit$loglik give the partial likelihood device? Many thanks, Dunia [[alternative HTML version deleted]] __ R-help@r-proj