John Sorkin wrote: >I am trying to model data in which subjects are followed through time to >determine if they fall, or do not fall. Some of the subjects fall once, >some fall several times. Follow-up time varies from subject to subject. >I know how to model time to the first fall (e.g. Cox Proportional >Hazards, Kaplan-Meir analyses, etc.) but I am not sure how I can model >the data if I include the data for those subjects who fall more than >once. I would appreciate suggestions about a models that I could use, >how I would quantify the follow-up time, how I account for the imbalance >in the data (some subjects would contribute one outcome measure, others >multiple measures), etc. > >Many thanks, >John > >John Sorkin M.D., Ph.D. >Chief, Biostatistics and Informatics >Baltimore VA Medical Center GRECC and >University of Maryland School of Medicine Claude Pepper OAIC > >University of Maryland School of Medicine >Division of Gerontology >Baltimore VA Medical Center >10 North Greene Street >GRECC (BT/18/GR) >Baltimore, MD 21201-1524 > >410-605-7119 >-- NOTE NEW EMAIL ADDRESS: >[EMAIL PROTECTED] > > [[alternative HTML version deleted]] > >______________________________________________ >R-help@stat.math.ethz.ch mailing list >https://stat.ethz.ch/mailman/listinfo/r-help >PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > > > > > help.search("recurrent") leads to CRAN pakage survrec. You couls also have a look at CRAN package eha and at Lindsey's package event
-- Kjetil Halvorsen. Peace is the most effective weapon of mass construction. -- Mahdi Elmandjra -- No virus found in this outgoing message. Checked by AVG Anti-Virus. ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html