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st: st: Incorporating time-varying covariates in Streg Weibull shared Frailty Models


From   "Clifton Chow" <clifton_chow@post.harvard.edu>
To   statalist@hsphsun2.harvard.edu
Subject   st: st: Incorporating time-varying covariates in Streg Weibull shared Frailty Models
Date   Mon, 17 Oct 2011 13:06:04 -0500

I am doing duration model (survival) analysis on the risk of job separation for individuals with disabilities.  Because I have multiple spells of employment on roughly 1,200 individuals over a 5 year period, the procedure I am choosing is parametric using Weibull Distribution with shared gamma frailty.  However, several of my covariates are time-varying such as health symptoms, work motivation and social relationships.  Can someone who has done survival analysis with time-variant covariates using parametric distribution give me some suggestions?  More specifically, how does stsplit work as I had read that this is sometimes used to deal with time-varying covariates in streg models?

Many Thanks!
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