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Statistical Analysis of Failure Time Data

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ISBN-10: 047136357X

ISBN-13: 9780471363576

Edition: 2nd 2002 (Revised)

Authors: John D. Kalbfleisch, Ross L. Prentice

List price: $208.95
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Description:

This new edition provides a synthesis of central themes that underscore the main developments, focus and directions of survival analysis.
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Book details

List price: $208.95
Edition: 2nd
Copyright year: 2002
Publisher: John Wiley & Sons, Incorporated
Publication date: 9/9/2002
Binding: Hardcover
Pages: 462
Size: 6.10" wide x 8.60" long x 0.50" tall
Weight: 1.914

Preface
Introduction
Failure Time Data
Failure Time Distributions
Time Origins, Censoring, and Truncation
Estimation of the Survivor Function
Comparison of Survival Curves
Generalizations to Accommodate Delayed Entry
Counting Process Notation
Bibliographic Notes
Exercises and Complements
Failure Time Models
Introduction
Some Continuous Parametric Failure Time Models
Regression Models
Discrete Failure Time Models
Bibliographic Notes
Exercises and Complements
Inference in Parametric Models and Related Topics
Introduction
Censoring Mechanisms
Censored Samples from an Exponential Distribution
Large-Sample Likelihood Theory
Exponential Regression
Estimation in Log-Linear Regression Models
Illustrations in More Complex Data Sets
Discrimination Among Parametric Models
Inference with Interval Censoring
Discussion
Bibliographic Notes
Exercises and Complements
Relative Risk (Cox) Regression Models
Introduction
Estimation of [beta]
Estimation of the Baseline Hazard or Survivor Function
Inclusion of Strata
Illustrations
Counting Process Formulas
Related Topics on the Cox Model
Sampling from Discrete Models
Bibliographic Notes
Exercises and Complements
Counting Processes and Asymptotic Theory
Introduction
Counting Processes and Intensity Functions
Martingales
Vector-Valued Martingales
Martingale Central Limit Theorem
Asymptotics Associated with Chapter 1
Asymptotic Results for the Cox Model
Asymptotic Results for Parametric Models
Efficiency of the Cox Model Estimator
Partial Likelihood Filtration
Bibliographic Notes
Exercises and Complements
Likelihood Construction and Further Results
Introduction
Likelihood Construction in Parametric Models
Time-Dependent Covariates and Further Remarks on Likelihood Construction
Time Dependence in the Relative Risk Model
Nonnested Conditioning Events
Residuals and Model Checking for the Cox Model
Bibliographic Notes
Exercises and Complements
Rank Regression and the Accelerated Failure Time Model
Introduction
Linear Rank Tests
Development and Properties of Linear Rank Tests
Estimation in the Accelerated Failure Time Model
Some Related Regression Models
Bibliographic Notes
Exercises and Complements
Competing Risks and Multistate Models
Introduction
Competing Risks
Life-History Processes
Bibliographic Notes
Exercises and Complements
Modeling and Analysis of Recurrent Event Data
Introduction
Intensity Processes for Recurrent Events
Overall Intensity Process Modeling and Estimation
Mean Process Modeling and Estimation
Conditioning on Aspects of the Counting Process History
Bibliographic Notes
Exercises and Complements
Analysis of Correlated Failure Time Data
Introduction
Regression Models for Correlated Failure Time Data
Representation and Estimation of the Bivariate Survivor Function
Pairwise Dependency Estimation
Illustration: Australian Twin Data
Approaches to Nonparametric Estimation of the Bivariate Survivor Function
Survivor Function Estimation in Higher Dimensions
Bibliographic Notes
Exercises and Complements
Additional Failure Time Data Topics
Introduction
Stratified Bivariate Failure Time Analysis
Fixed Study Period Survival Studies
Cohort Sampling and Case-Control Studies
Missing Covariate Data
Mismeasured Covariate Data
Sequential Testing with Failure Time Endpoints
Bayesian Analysis of the Proportional Hazards Model
Some Analyses of a Particular Data Set
Bibliographic Notes
Exercises and Complements
Glossary of Notation
Some Sets of Data
Supporting Technical Material
Bibliography
Author Index
Subject Index