Statistical Methods for Survival Data Analysis / Edition 3

Statistical Methods for Survival Data Analysis / Edition 3

by Elisa T. Lee, John Wang
     
 

ISBN-10: 0471369977

ISBN-13: 9780471369974

Pub. Date: 04/04/2003

Publisher: Wiley

Defined in a broad sense, survival data refers to data that involve the remaining time until a certain event such as a death a relapse or the onset of a disease. Over the past decade, applications of the statistical methods for survival data analysis have extended far beyond biomedical and reliability research to a host of other fields, including criminology,…  See more details below

Overview

Defined in a broad sense, survival data refers to data that involve the remaining time until a certain event such as a death a relapse or the onset of a disease. Over the past decade, applications of the statistical methods for survival data analysis have extended far beyond biomedical and reliability research to a host of other fields, including criminology, sociology, marketing, and health insurance practice. Statistical Methods for Survival Data Analysis, Second Edition has been designed to meet the need for a single volume covering the many methodologies appropriate for the analysis of survival data. Emphasizing applications over rigorous mathematics, this extremely useful reference provides thorough discussion of the most commonly used parametric and nonparametric methods in survival data analysis, as well as guidelines for the planning and design of clinical trials. These statistical methods and guidelines are applicable to many types of research, including clinical investigations, epidemiologic studies, social science research, and studies in other areas. Numerous real-life examples are employed to illustrate key concepts and several large data sets are included as examples. Other features include discussion of clinical life-table analysis and population life-tables; a goodness-of-fit test for modeling survival data that involve censored observations; expanded treatment of Cox's proportional hazards model; discussion of the relationship between odds ratios and coefficients of the linear logistic regression model; discussion of computer programs for survival data analysis that generate the gamma probability plot; methods for determining sample sizes in clinical survival time trials; discussion of the issues of repeated significance testing and group; sequential design; and a reference list which includes a large number of recently published papers. Statistical Methods for Survival Data Analysis, Second Edition is an essential reference for biomedical inve

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Product Details

ISBN-13:
9780471369974
Publisher:
Wiley
Publication date:
04/04/2003
Series:
Wiley Series in Probability and Statistics Series, #364
Edition description:
REV
Pages:
534
Product dimensions:
6.44(w) x 9.29(h) x 1.29(d)

Table of Contents

Preface
1Introduction
2Functions of Survival Time8
3Examples of Survival Data Analysis19
4Nonparametric Methods of Estimating Survival Functions64
5Nonparametric Methods for Comparing Survival Distributions106
6Some Well-Known Parametric Survival Distributions and Their Applications134
7Estimation Procedures for Parametric Survival Distributions without Covariates162
8Graphical Methods for Survival Distribution Fitting198
9Tests of Goodness of Fit and Distribution Selection221
10Parametric Methods for Comparing Two Survival Distributions243
11Parametric Methods for Regression Model Fitting and Identification of Prognostic Factors256
12Identification of Prognostic Factors Related to Survival Time: Cox Proportional Hazards Model298
13Identification of Prognostic Factors Related to Survival Time: Nonproportional Hazards Models339
14Identification of Risk Factors Related to Dichotomous and Polychotomous Outcomes377
App. ANewton-Raphson Method428
App. BStatistical Tables433
References488
Index511

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