[R] Binary outcome with non-absorbing outcome state

[Frank E Harrell Jr]

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   

A great reference for this is

@Book{the00mod,
   author =               {Therneau, Terry and Grambsch, Patricia},
   title =                {Modeling Survival Data: Extending the Cox Model},
   publisher =    {Springer-Verlag},
   year =                 2000,
   address =              {New York}
}

Frank

>  
> 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
> 
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-- 
Frank E Harrell Jr   Professor and Chair           School of Medicine
                      Department of Biostatistics   Vanderbilt University