Summary

You have fit a Cox regression model for post-stroke survival that estimates the effects of the changing post-stroke patient history. This is just a beginning, as researchers would undoubtedly want to include other potential predictors in the model. Moreover, in further analysis of this dataset you might consider more significant changes to the model structure. For example, the current model assumes that the effect of a patient history-altering event can be quantified by a multiplier to the baseline hazard. Instead, it may be reasonable to assume that the shape of the baseline hazard is altered by the occurrence of a nondeath event. To accomplish this, you could stratify the analysis based on Event index.