Bruno L. Giordano wrote: > Hello, > I am looking for references about mixed models built on rank transformed > data. > Did anybody ever consider this topic? > > Thank you, > Bruno
If you are speaking about the response variable, it's better to use a formal model such as the proportional odds model (generalization of the Wilcoxon test). That way you can do meaningful interaction tests and much more, plus handle ties elegantly with likelihood ratio tests. Some researchers have developed mixed effects prop. odds models (which I haven't used yet). Frank > > > ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ > Bruno L. Giordano, Ph.D. > CIRMMT > Schulich School of Music, McGill University > 555 Sherbrooke Street West > Montréal, QC H3A 1E3 > Canada > http://www.music.mcgill.ca/~bruno/ > > ______________________________________________ > [email protected] 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. > -- Frank E Harrell Jr Professor and Chair School of Medicine Department of Biostatistics Vanderbilt University ______________________________________________ [email protected] 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.
