[R] Binary outcome with non-absorbing outcome state

[Kjetil Brinchmann Halvorsen]

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:
>jsorkin at grecc.umaryland.edu
>
>	[[alternative HTML version deleted]]
>
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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





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