This graduate textbook surveys the statistical models and methods used to analyze failure time data, particularly in biomedical contexts. The authors cover inference in parametric models, the Cox regression model, likelihood construction, the accelerated time model, and multi- variate failure models. The second edition adds a chapter on counting processes, martingales, and the associated asymptotic theory. Annotation c. Book News, Inc., Portland, OR (booknews.com)
* Contains additional discussion and examples on left truncation as well as material on more general censoring and truncation patterns.
* Introduces the martingale and counting process formulation swil lbe in a new chapter.
* Develops multivariate failure time data in a separate chapter and extends the material on Markov and semi Markov formulations.
* Presents new examples and applications of data analysis.
More info about Wiley Online