Event History Analysis with R

This is the second edition of a practical book on using R for survival and event history analysis. There is an emphasis on applying the methods to problems from the social sciences through detailed real-world examples. The book has been updated with new chapters on reproducible research and register-based methods, and updates throughout.

Göran Broström is professor emeritus of Statistics at the Centre for Demographic and Ageing Research, Umeå University. He has a PhD in mathematical statistics from Umeå University (1979). He is the author of two R packages, eha and glmmML, available on CRAN.

1. Event History and Survival Data 2. Single sample data 3. Proportional Hazards and Cox Regression 4. Explanatory Variables and Regression 5. Poisson Regression 6. More on Cox Regression 7. Register-Based Survival Data Models 8. Parametric Models 9. Multivariate survival models 10. Causality and Matching 11. Competing risks models Appendix A. Basic statistical concepts Appendix B. Survival distributions Appendix C. A brief introduction to R Appendix D. Survival packages in R