The Statistical Analysis of Failure Time Data

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9780471363576: The Statistical Analysis of Failure Time Data
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  • Contains additional discussion and examples on left truncationas well as material on more general censoring and truncationpatterns.
  • Introduces the martingale and counting process formulation swillbe in a new chapter.
  • Develops multivariate failure time data in a separate chapterand extends the material on Markov and semi Markovformulations.
  • Presents new examples and applications of data analysis.

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Synthesizes statistical models and methods for the analysis of failure time or ``survival'' data. Focuses on regression problems with survival data, specifically the estimation of regression coefficients and distributional shape in the presence of shaping. Deals with the theory, applications and extensions of the proportional hazards model. Includes worked examples and problems for solution.

From the Back Cover:

The area?s benchmark text, completely revised and updated

In the twenty years since publication of the first edition ofThe Statistical Analysis of Failure Time Data, researchers haveproduced a library of material on this constantly evolving area.The theoretical underpinnings of established methods have beenstrengthened, the scope of application has been extended, andcounting process methods and related martingale convergence resultshave led to precise and general asymptotic results. Addressinggraduate students, practitioners, and researchers, Jack Kalbfleischand Ross Prentice update their classic text with these and othercurrent developments in the second edition of The StatisticalAnalysis of Failure Time Data.

The authors include exercises and examples in each chapter,tying these sophisticated methods to practical applications. TheSecond Edition develops the dynamics of multivariate failure timedata, extends the present material on Markov and semi Markovformulations, and includes an emphasis on left truncation. Thefinal chapter on special topics and examples of data analysis hasbeen completely revised and updated. Other chapters include:

  • Inference in Parametric Models and Related Topics
  • Relative Risk (Cox) Regression Models
  • Competing Risks and Multistate Models
  • Modeling and Analysis of Recurrent Event Data
  • Analysis of Correlated Failure Time Data

With its comprehensive survey of the field and resources forstudents and researchers, The Statistical Analysis of Failure TimeData remains the benchmark text of the area.

Amstat News asked three review editors to rate their topfive favorite books in the September 2003 issue. The StatisticalAnalysis of Failure Time Data was among those chosen.

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9780471055198: The Statistical Analysis of Failure Time Data (Wiley Series in Probability and Statistics)

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