Analysis of Failure and Survival Data
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€254.20
A01=Peter J. Smith
Accelerated Failure Time Model
advanced survival analysis techniques
Author_Peter J. Smith
Baseline Hazard
Baseline Survival Function
biomedical statistics
Buckley James Estimators
Category=PBT
Censor Times
censored
censored data analysis
Censoring Interval
Cox Partial Likelihood
Cox Snell Residuals
Cumulative Distribution Function
Cumulative Hazard Function
Data Set
density
empirical
Empirical Survivor Function
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
function
functions
graduate level statistics
Greenwood's Formula
Hazard Function
heart
Kaplan Meier Product Limit Estimator
Minimal Cut Sets
probability
Probability Plot
Proportional Hazards
Proportional Hazards Model
regression diagnostics
reliability engineering
stanford
Stanford Heart Transplant Data
statistical modeling
Survival Function
Survival Random Variable
survivor
transplant
True Regression Parameters
Weibull Model
Weibull Probability Plot
Product details
- ISBN 9781138469570
- Weight: 453g
- Dimensions: 156 x 234mm
- Publication Date: 09 Aug 2017
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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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.
