Multivariate Survival Analysis and Competing Risks

"... a nice addition to the previous edition is the inclusion of R code and datasets, which are available online. ... this book is a useful addition to the literature, which undergraduate as well as graduate students in statistics will appreciate." -Australian & New Zealand Journal of Statistics, 56(4), 2014 "Crowder is known for his clear expositions and chatty style, and this book does not disappoint. It is a pleasant read. The introduction to R will be useful, as will the exercises at the end of each chapter. ... With its exercises and easy style, this book is very suitable as an upper-level text. It is easy to jump into later chapters without much back pedaling and this makes it a useful reference work." -Roger M. Cooke, Journal of the American Statistical Association, September 2014, Vol. 109

• Univariate Survival Analysis: Survival Data. Survival Distributions. Frailty Models. Parametric Methods. Discrete Time: Non- And Semi-Parametric Methods. Continuous-Time: Non- And Semi-Parametric Methods. Multivariate Survival Analysis: Multivariate Data and Distributions. Frailty and Copulas. Repeated Measure. Wear and Degradation. Competing Risks: Continuous Failure Times And Their Causes. Parametric Likelihood Inference. Latent Failure Times: Probability Distributions. Discrete Failure Times in Competing Risks. Hazard-Based Methods for Continuous Failure Times. Latent Failure Times: Identifiability Crises. Counting Processes in Survival Analysis: Some Basic Concepts. Survival Analysis. Non- And Semi-Parametric Methods.