[R] Binary outcome with non-absorbing outcome state
Frank Funderburk
frankfunder at earthlink.net
Fri Jul 29 15:43:42 CEST 2005
Singer & Willett (2003) also cover this ground.
Singer, JD & Willett, JB (2003). Applied longitudinal data analysis: Modeling change and event occurrence. New Yok: Oxford University Press.
-----Original Message-----
From: Frank E Harrell Jr <f.harrell at vanderbilt.edu>
Sent: Jul 29, 2005 9:25 AM
To: John Sorkin <jsorkin at grecc.umaryland.edu>
Cc: R-help at stat.math.ethz.ch
Subject: Re: [R] Binary outcome with non-absorbing outcome state
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
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