Transcription of The Stratified Cox Procedure
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5 TheStratifiedCoxProcedure1731745. The Stratified Cox ProcedureIntroductionWe begin with an example of the use of the Stratified Coxprocedure for a single predictor that does not satisfy the PHassumption. We then describe the general approach for fittinga Stratified cox model , including the form of the (partial) like-lihood function used to estimate model also describe the assumption of no interaction that istypically incorporated into most computer programs thatcarry out the Stratified Cox Procedure . We show how the no-interaction assumption can be tested, and what can be doneif interaction is conclude with a second example of the Stratified Cox pro-cedure in which more than one variable is outline below gives the user a preview of the material tobe covered by t
The “stratified Cox model” is a modification of the Cox proportional hazards (PH) model that allows for control by “stratification” of a predictor that does not satisfy the PH assumption. Predictors that are assumed to satisfy the PH assumption are included in the model, whereas the predictor be-ing stratified is not included.
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