Chapman & Hall/CRC texts in statistical science series
Basic Concepts; Introduction; Examples; Data structure; On rates and risks; Non-informative observation schemes?; The examples revisited; Notation; Basic techniques from survival analysis; Summary and preview; Exercises; R code for classical survival analysis; Computer practicals Competing Risks; Nonparametric Estimation ; Introduction; Theoretical relations; Estimation based on cause-specific hazard; Estimation; the subdistribution approach; Standard errors and confidence intervals; Log-rank tests and other subgroup comparisons; Summary; three principles of interpretability; Exercises; Software; Computer practicals Intermediate Events; Nonparametric Estimation ; Introduction; multi-state models; Main concepts and theoretical relations; Estimation; Example: HIV, SI, AIDS and death; Summary; some alternative approaches; Exercises; Software; Computer practicals Regression; Cause-Specific/Transition Hazard ; Introduction; Regression on cause-specific hazard; basic structure; Combined analysis and type-specific covariables; Why does the stacked approach work?; Multi-state regression models for transition hazards; Example: causes of death in HIV infected individuals; Summary; Exercises; Software; Computer practicals Regression; Translation to Cumulative Scale ; Introduction; From cause-specific/transition hazard to probability; Regression on subdistribution hazard; Multinomial regression; Summary; Exercises; Software; Computer practicals Epilogue; Which type of quantity to choose?; Exercises Bibliography Appendix: Answers to Exercises Index.