E-Books →Event History Analysis with R, 2nd Edition

Features
* Introduction to survival and event history analysis and how to solve problems with incomplete data
using Cox regression.
* Parametric proportional hazards models, including the Weibull, Exponential, Extreme Value, and
Gompertz distributions.
* Parametric accelerated failure time models with the Lognormal, Loglogistic, Gompertz, Exponential,
Extreme Value, and Weibull distributions.
* Proportional hazards models for occurrence/exposure data, useful with tabular and register based data,
often with a huge amount of observed events.
* Special treatments of external communal covariates, selections from the Lexis diagram, and creating
period as well as cohort statistics.
* "Weird bootstrap" sampling suitable for Cox regression with small to medium-sized data sets.
* Supported by an R package (https://CRAN.R-project.org/package=eha), including code and data for
most examples in the book.
* A dedicated home page for the book athttp://ehar.se/r/ehar2
This substantial update to this popular book remains an excellent resource for researchers and practitioners
of applied event history analysis and survival analysis. It can be used as a text for a course for graduate
students or for self-study.