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Through realworld case studies, this book shows how to use Stata to estimate a class of flexible parametric survival models. It discusses the modeling of timedependent and continuous covariates and looks at how relative survival can be used to measure mortality associated with a particular disease when the cause of death has not been recorded. The book describes simple quantification of differences between any two covariate patterns through calculation of timedependent hazard ratios, hazard differences, and survival differences.
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