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Stratification in the Cox model - MyWeb

IntroductionChecking the proportional hazards assumptionFitting stratified Cox modelsStratification in the Cox modelPatrick BrehenyNovember 17 Patrick BrehenySurvival Data Analysis (BIOS 7210)1/20 IntroductionChecking the proportional hazards assumptionFitting stratified Cox modelsIntroductionToday s topic is the use of Stratification in Cox regressionThere are two main purposes of Stratification :It is useful as a diagnostic for checking the proportionalhazards assumptionIt offers a way of extending the Cox model to allow fornon-proportionality with respect to some covariatesPatrick BrehenySurvival Data Analysis (BIOS 7210)2/20 IntroductionChecking the proportional hazards assumptionFitting stratified Cox modelsVA Lung Cancer dataTo illustrate these concepts, we will look at a classic survivaldata set, the VA lung cancer data (veteranin thesurvivalpackage)The data comes from a clinical trial carried out by theVeterans Administration on male veterans with advanced,inoperable lung cancerIn the trial, patients were randomized to receive either astandard chemotherapy or an experimental chemotherapy, andthe primary endpoint was the time until deathPatrick BrehenySurvival Data Analysis (BIOS 7210)

Introduction Checking the proportional hazards assumption Fitting strati ed Cox models Final remarks (cont’d) The other primary limitation of strati ed models is that there is no way to carry out inference for the strati cation variables For example, strati cation is commonly used to aggregate results across multi-center studies, because ...

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