Analysis of Failure and Survival Data is an essential textbook for graduate-level students of survival analysis and reliability and a valuable reference for practitioners. It focuses on the many techniques that appear in popular software packages, including plotting product-limit survival curves, hazard plots, and probability plots in the context of censored data. The author integrates S-Plus and Minitab output throughout the text, along with a variety of real data sets so readers can see how the theory and methods are applied. He also incorporates exercises in each chapter that provide valuable problem-solving experience. In addition to all of this, the book also brings to light the most recent linear regression techniques. Most importantly, it includes a definitive account of the Buckley-James method for censored linear regression, found to be the best performing method when a Cox proportional hazards method is not appropriate.Applying the theories of survival analysis and reliability requires more background and experience than students typically receive at the undergraduate level. Mastering the contents of this book will help prepare students to begin performing research in survival analysis and reliability and provide seasoned practitioners with a deeper understanding of the field.
Analysis of Failure and Survival Data is an essential textbook for graduate-level students of survival analysis and reliability and a valuable reference for practitioners. It focuses on the many techniques that appear in popular software packages, including plotting product-limit survival curves, hazard plots, and probability plots in the context of censored data. The author integrates S-Plus and Minitab output throughout the text, along with a variety of real data sets so readers can see how the theory and methods are applied. He also incorporates exercises in each chapter that provide valuable problem-solving experience. In addition to all of this, the book also brings to light the most recent linear regression techniques. Most importantly, it includes a definitive account of the Buckley-James method for censored linear regression, found to be the best performing method when a Cox proportional hazards method is not appropriate.Applying the theories of survival analysis and reliability requires more background and experience than students typically receive at the undergraduate level. Mastering the contents of this book will help prepare students to begin performing research in survival analysis and reliability and provide seasoned practitioners with a deeper understanding of the field.
Survival Distributions. Hazard Models. Reliability of Systems. Data Plots. Censoring and Lifetables. The Product-Limit Estimator. Parametric Survival Models under Censoring. Parametric Regression Models. Cox Proportional Hazards. Linear Regression with Censored Data. Buckley-James Diagnostics and Applications.
Smith, Peter J.
" 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 the area. …Certainly I am
pleased to have a copy on my shelves."
-A. C. Kimber, Biometrics, December 2002
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