DeaR userRs, I recently read this Liang-Zeger article:
http://sankhya.isical.ac.in/search/62b1/fpaper7.html in which (among other things) they adopt a random intercept model for pre-post designed trials, using a conditional likelihood approach (I didn't think it possible with only two measurements per subject) I'm trying to figure out (if and) how it is possible to reproduce straightforwardly their model using R standard mixed model tools, but I cannot even try to reproduce their work, since they used a non-available dataset (I found an extract on prof. Diggle's web site where it is explicitly reported to be "confidential"), so I have to review a bit of likelihood theory along with some implementation details. In the meantime, I wonder if anyone here could point out any related documentation to me. Thank you. Marco. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
