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Statistical Methods for Survival Data Analysis / Edition 4
     

Statistical Methods for Survival Data Analysis / Edition 4

by Elisa T. Lee
 

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ISBN-10: 1118095022

ISBN-13: 9781118095027

Pub. Date: 10/07/2013

Publisher: Wiley

Praise for the Third Edition

". . . an easy-to read introduction to survival analysis which covers the major concepts and techniques of the subject." —Statistics in Medical Research

Updated and expanded to reflect the latest developments, Statistical Methods for Survival Data Analysis, Fourth Edition continues to deliver a

Overview

Praise for the Third Edition

". . . an easy-to read introduction to survival analysis which covers the major concepts and techniques of the subject." —Statistics in Medical Research

Updated and expanded to reflect the latest developments, Statistical Methods for Survival Data Analysis, Fourth Edition continues to deliver a comprehensive introduction to the most commonly-used methods for analyzing survival data. Authored by a uniquely well-qualified author team, the Fourth Edition is a critically acclaimed guide to statistical methods with applications in clinical trials, epidemiology, areas of business, and the social sciences. The book features many real-world examples to illustrate applications within these various fields, although special consideration is given to the study of survival data in biomedical sciences.

Emphasizing the latest research and providing the most up-to-date information regarding software applications in the field, Statistical Methods for Survival Data Analysis, Fourth Edition also includes:

  • Marginal and random effect models for analyzing correlated censored or uncensored data
  • Multiple types of two-sample and K-sample comparison analysis
  • Updated treatment of parametric methods for regression model fitting with a new focus on accelerated failure time models
  • Expanded coverage of the Cox proportional hazards model
  • Exercises at the end of each chapter to deepen knowledge of the presented material

Statistical Methods for Survival Data Analysis is an ideal text for upper-undergraduate and graduate-level courses on survival data analysis. The book is also an excellent resource for biomedical investigators, statisticians, and epidemiologists, as well as researchers in every field in which the analysis of survival data plays a role.

Product Details

ISBN-13:
9781118095027
Publisher:
Wiley
Publication date:
10/07/2013
Series:
Wiley Series in Probability and Statistics Series
Edition description:
New Edition
Pages:
512
Product dimensions:
6.40(w) x 9.30(h) x 1.30(d)

Table of Contents

Preface.
Introduction.
Functions of Survival Time.
Examples of Survival Data Analysis.
Nonparametric Methods of Estimating Survival Functions.
Nonparametric Methods for Comparing Survival Distributions.
Some Well-Known Parametric Survival Distribution and Their Applications.
Estimation Procedures for Parametric Survival Distributions Without Covariates.
Graphical Methods in Survival Distribution Fitting.
Tests of Goodness-of-Fit and Distributon Selection.
Parametric Methods for Comparing Two Survival Distributions.
Parametric Methods for Regression Model Fitting and Identification of Prognostic Factors.
Identification of Prognostic Factors Related to Survival Time: Cox Proportional Hazards Model.
Identification of Prognostic Factors Related to Survival Time: Non-Proportional Hazards Models.
Identification of Rich Factors Related to Dichotomous or Polychotomous Outcomes.
Appendix A: The Newton-Raphson Method.
Appendix B: Statistical Tables.
References.

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