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From |
Timothy.Mak@iop.kcl.ac.uk |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Cox Regression |

Date |
Tue, 23 Aug 2005 09:33:45 +0100 |

So what are the assumptions that I should look out for? Any more answers on the other parts of my question? Thanks again. Tim Marcello Pagano <pagano@hsph.harvard.edu> Sent by: owner-statalist@hsphsun2.harvard.edu 19/08/2005 18:19 Please respond to statalist@hsphsun2.harvard.edu To statalist@hsphsun2.harvard.edu cc Subject Re: st: Cox Regression I would not think so. You are basing your decision of non-significance on a test whose validity is based on an assumption. If the assumption is not valid, then neither is the test. Think of a simple analogy with linear models. Suppose the relation between y and x is a V-shaped one. The coefficient of x in a linear model may well test out to zero. That would not mean that the relationship is linear. m.p. Timothy.Mak@iop.kcl.ac.uk wrote: >Hi when performing a Cox regression with or without a time dependent >covariate, is a non-significant result in a -stphtest- generally enough >evidence for the assumption of proportional hazard? > >If I have multiple covariates, but I'm only interested in one, is it >enough to check only the proportional hazard assumption of the variable >I'm interested in? ie using the stphtest, detail, rather than stphtest? > >Lastly, is it better to use stphtest log, or one of the other option >rather than stphtest if hazard increases over time and most of my >participants 'died' early during the observation period? > >Thanks a lot for any answer. > >Tim > >* >* For searches and help try: >* http://www.stata.com/support/faqs/res/findit.html >* http://www.stata.com/support/statalist/faq >* http://www.ats.ucla.edu/stat/stata/ > > * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**st: Heterogeneity of variances***From:*Timothy.Mak@iop.kcl.ac.uk

**References**:**Re: st: Cox Regression***From:*Marcello Pagano <pagano@hsph.harvard.edu>

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