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This paper presents the application of survival analysis methods using SAS/STAT to a large clinical trial, which was designed to test the treatment effect on preventing recurrent stroke and cardiovascular events. This paper presents the complete analysis procedure of this case study, including the model assumption check, model selection, and the utility and discussion on the Cox proportional hazards model, marginal recurrent events model, robust sandwich variance estimator, and some conditional recurrent events models.
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