Frank E Harrell Jr
> <[EMAIL PROTECTED]> Sent: Jul 29, 2005 9:25 AM To: John Sorkin
> <[EMAIL PROTECTED]> Cc: R-help@stat.math.ethz.ch Subject:
> Re: [R] Binary outcome with non-absorbing outcome state
>
> John Sorkin wrote:
>
>> I am trying to model data in whic
On Fri, 29 Jul 2005, Dieter Menne wrote:
> John Sorkin grecc.umaryland.edu> writes:
>
>>
>> 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 su
On Fri, 29 Jul 2005, 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 f
John Sorkin grecc.umaryland.edu> writes:
>
> 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.
Chapter 4.3 in
http://www.m
005 9:25 AM
To: John Sorkin <[EMAIL PROTECTED]>
Cc: R-help@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
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 Propo
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 Pr
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-
