Survival Analysis: Techniques for Censored and Truncated Data / Edition 2

Survival Analysis: Techniques for Censored and Truncated Data / Edition 2

by John P. Klein, Melvin L. Moeschberger
     
 

Applied statisticians in many fields frequently analyze time-to-event data. While the statistical tools presented in this book are applicable to data from medicine, biology, public health, epidemiology, engineering, economics and demography, the focus here is on applications of the techniques to biology and medicine.

The analysis of survival experiments is

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Overview

Applied statisticians in many fields frequently analyze time-to-event data. While the statistical tools presented in this book are applicable to data from medicine, biology, public health, epidemiology, engineering, economics and demography, the focus here is on applications of the techniques to biology and medicine.

The analysis of survival experiments is complicated by issues of censoring and truncation. The use of counting process methodology has allowed for substantial advances in the statistical theory to account for censoring and truncation in survival experiments. This book makes these complex techniques accessible to applied researchers without the advanced mathematical background. The authors present the essentials of these techniques, as well as classical techniques not based on counting processes, and apply them to data.

The second edition contains some new material as well as solutions to the odd-numbered revised exercises. New material consists of a discussion of summary statistics for competing risks probabilities in Chapter 2 and the estimation process for these probabilities in Chapter 4. A new section on tests of the equality of survival curves at a fixed point in time is added in Chapter 7. In Chapter 8 an expanded discussion is presented on how to code covariates and a new section on discretizing a continuous covariate is added. A new section on Lin and Ying's additive hazards regression model is presented in Chapter 10. We now proceed to a general discussion of the usefulness of this book incorporating the new material with that of the first edition.

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Product Details

ISBN-13:
9781441929853
Publisher:
Springer New York
Publication date:
12/01/2010
Series:
Statistics for Biology and Health Series
Edition description:
Softcover reprint of hardcover 2nd ed. 2003
Pages:
538
Product dimensions:
8.20(w) x 11.00(h) x 1.30(d)

Table of Contents

Examples of Survival Data
• Basic Quantities and Models
• Censoring and Truncation
• Nonparametric Estimation of Basic Quantities
• Estimation of Basic Quantities for Other Sampling Schemes
• Topics in Univariate Estimation
• Tests Based on Comparing Observed and Expected Hazard Rates
• Semiparametric Proportional Hazards Regression with Fixed Covariates
• Refinements of the Semiparametric Proportional Hazards Model
• Additive Hazards Regression Models
• Regression Diagnostics
• Parametric Methods for Survival Analysis
• Multivariate Survival Analysis

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