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:
jsorkin@grecc.umaryland.edu

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