Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model

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.

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.

• | Author: Patrick Royston, Paul C. Lambert
• | Publisher: Stata Press
• | Publication Date: Aug 04, 2011
• | Number of Pages:
• | Language:
• | Binding: Paperback / softback
• | ISBN-13: 9781597180795
• | ISBN-10: 1597180793