Hi Erich, Look at the SimComp package, which handles multiple endpoints, i.e. columns of response variables. Ratio-comparisons are also handled. Good ready-made range of comparisons; you can also set up your own.
Regards, Mark. Erich Studerus wrote: > > Johannes Huesing <johan...@huesing.name> wrote: >> Couldn't you re-phrase your model by including timepoint as a continuous >> regressor and scale as a factor? > > Well, the measuring time points are 70 170, 300 and 1440 minutes after > drug > intake. Since the influence of time is cerainly not linear, I think it's > better to treat it as categorical factor. In fact, I already calculated > mixed effects models with the four-level factor time and the two-level > factor treatment and random effects factors subjects (nested in studies) > and > studies for each scale. I used mixed effects models, because I'm doing a > meta-analysis on the raw data of 8 studies. Thus my dataset has not only a > grouping structure, but is also unbalanced (not all studies did 4 > measurements). I'm not sure, if I could extend my model by including > another > factor for scale, since these scales measure quite different things. I > guess, It would be also very difficult the set up appropriate contrasts to > compare each scale on each measuring time point. > > ______________________________________________ > 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. > > -- View this message in context: http://www.nabble.com/Adjusting-confidence-intervals-for-paired-t-tests-of-multiple-endpoints-tp22247598p22283385.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
