Statistical methods for survival data analysis
Author(s)
Bibliographic Information
Statistical methods for survival data analysis
（Wiley series in probability and mathematical statistics）
John Wiley & Sons, c2003
3rd ed. / Elisa T. Lee, John Wenyu Wang
- : cloth
Available at / 37 libraries
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Academic Information Center, The Jikei University School of Medicine
: clothWA950||L51012040666
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University of Toyama Library, Medical and Pharmaceutical Library図
: clothWA950||L477s395000257375
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Note
"A Wiley-Interscience."
Previous ed.: c1992
Bibliography: p. 488-510
Includes index
Description and Table of Contents
Description
Third Edition brings the text up to date with new material and updated references. New content includes an introduction to left and interval censored data; the log-logistic distribution; estimation procedures for left and interval censored data; parametric methods iwth covariates; Cox's proportional hazards model (including stratification and time-dependent covariates); and multiple responses to the logistic regression model. Coverage of graphical methods has been deleted. Large data sets are provided on an FTP site for readers' convenience. Bibliographic remarks conclude each chapter.
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 Distributions and Their Applications.Estimation Procedures for Parametric Survival Distributions Without Covariates.Graphical Methods in Survival Distribution Fitting.Tests of Goodness of Fit and Distribution 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: Nonproportional Hazards Models.Identification of Risk Factors Related to Dichotomous and Polychotomous Outcomes.Appendix A: Newton-Raphson Method.Appendix B: Statistical Tables.References.Index.
by "Nielsen BookData"
