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Flexible Parametric Survival Analysis Using Stata

by Patrick Royston , Paul C. Lambert

📖 The Scoop

Through real-world case studies, this book shows how to use Stata to estimate a class of flexible parametric survival models. It discusses the modeling of time-dependent 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 time-dependent hazard ratios, hazard differences, and survival differences.

Genre: Mathematics / Probability & Statistics / General (fancy, right?)

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