Univariate Survival Analysis
Scenario
Survival Distributions
Continuous Time Parametric Inference
Continuous Time Non- and Semi-Parametric Methods
Discrete Time
Multivariate Survival Analysis
Multivariate Data and Distributions
Some Parametric Models
Frailty, Random Effects, and Copulas
Repeated Measures
Recurrent Events
Multi-State Processes
Competing Risks
Continuous Failure Times and Their Causes
Continuous Time Parametric Inference
Latent Lifetimes
Continuous Time Non- and Semi-Parametric Methods
Discrete Lifetimes
Latent Lifetimes Identifiability Crises
Counting Processes in Survival Analysis
Some Basic Concepts
Survival Analysis
Non- and Semi-Parametric Methods
Appendices
Terms, Notations, and Abbreviations
Basic Likelihood Methods
Some Theory for Partial Likelihood
Numerical Optimisation of Functions
References
Epilogue
Index
Biography
Martin J. Crowder
"Dr. Crowder’s book provides a comprehensive overview of various distributions and models that have been proposed for multivariate survival data and competing risks data. The book is divided into four parts. … The material discussed in each topic is succinct, which provides enough detail to follow and includes relevant references for interested audience to dig deeper. The accompanying real-world data examples and R code are extremely handy for anyone who would like to explore those methods. … Despite the advanced topics it covers, the book is a pleasant read, as the presentation style is entertaining. …
All together the book is very suitable for an advanced survival analysis course for its broad range of topics."
—Yu Cheng, University of Pittsburgh, in the LIDA-IG Newsletter, January 2018"… the book is interesting to read, [and] the author’s writing style is both entertaining and to the point …"
—ISCB News, December 2015"… 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
