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From |
James Henson <xenocobra1984@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: coefficients on accelerated failure time model level-log (streg) |

Date |
Thu, 14 Mar 2013 17:40:43 -0400 |

I ending up find the answer in Wooldridge,2002,p.699. If the variable is not transformed it is a semielasticity, which makes sense as one unit change in the variable causes a % change in the survival or hazard ratio. If a variable is log transformed it is considered an elasticity. In my case log(t)=log(-xb)+e for log-logistic. On Tue, Mar 12, 2013 at 6:50 PM, James Henson <xenocobra1984@gmail.com> wrote: > I have the basic understanding of the log-logistic (AFT) model estimates. If the > coefficient is greater than one the it reduces the survival time, and > increases survival time for values less than one. I am a little confused on > if I use a variable such as the log of income (ln(income)) in a level-log > format. Is it the same as regression (B/100)% change in beta. so, a one > percent change in income would equal a (B/100) change in survival? Thanks I > was search for days, but was unable to find the right answer. > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/faqs/resources/statalist-faq/ > * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

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