Analysis of Failure and Survival Data

This book begins with a broad and basic introduction to methods for handling censored failure time data, applying these to both medical and reliability data. It then focuses intensively on the Buckley-James generalizations of the linear model for censored data. This is in contrast to most texts in this field, which focus the discussion of regression models on the theory and application of the proportional hazards (Cox) model. This book is of interest both as an easily comprehended introduction to survival analysis (with medical and reliability applications) and as an in-depth reference on the Buckley-James linear failure time model. For a researcher with little background in failure time methods and with an interest in focusing on the extension of linear models to censored data, Analysis of Failure and Survival Data could be a useful contribution. -Technometrics, November 2002 the depth and breadth of the coverage constitutes the novel and useful contribution of this text to the current collection of texts on survival analysis Students new to the concepts of censored data analysis will find the first nine chapters informative and useful, and research specialists in survival analysis will find the last two chapters enlightening and broadening Throughout the book, the material is presented clearly, and emphasis is placed on explaining the ideas that drive the methodology. Also refreshing is the use of non-biomedical examples for illustrations - Journal of the American Statistical Association, September 2003 Throughout the text the author helpfully highlights definitions and important results and his style of writing is clear. ...this is a good book for a reader who is new to thearea. Certainly I am pleased to have a copy on my shelves. -A. C. Kimber, Biometrics, December 2002