Chapman & Hall/CRC the R: Event History Analysis with R (Hardcover)

With an emphasis on social science applications, this book presents an introduction to survival and event history analysis. It focuses on practical applications in the fields of demography, epidemiology, and econometrics. The text includes a wide range of real examples, with data available online and supported by a dedicated R package for performing all of the analyses. Keeping mathematical details to a minimum, the author covers key topics, including both discrete and continuous time data, parametric proportional hazards, and accelerated failure times. He also describes how to use methods that are not available in other software for survival analysis.

With an emphasis on social science applications, Event History Analysis with R presents an introduction to survival and event history analysis using real-life examples. Keeping mathematical details to a minimum, the book covers key topics, including both discrete and continuous time data, parametric proportional hazards, and accelerated failure times.

Features

• Introduces parametric proportional hazards models with baseline distributions like the Weibull, Gompertz, Lognormal, and Piecewise constant hazard distributions, in addition to traditional Cox regression
• Presents mathematical details as well as technical material in an appendix
• Includes real examples with applications in demography, econometrics, and epidemiology
• Provides a dedicated R package, eha, containing special treatments, including making cuts in the Lexis diagram, creating communal covariates, and creating period statistics

A much-needed primer, Event History Analysis with R is a didactically excellent resource for students and practitioners of applied event history and survival analysis.