Statistical Methods for Survival Data Analysis
3rd Edition
Published on 17. April 2003
Book
Hardback
534 pages
978-0-471-36997-4 (ISBN)
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.
Reviews / Votes
"This third edition is a significant upgrade.this remains an excellent choice or a basic textbook in survival analysis." (Technometrics, Vol. 45, No. 4, November 2003) "This third edition is a significant upgrade.this remains an excellent choice or a basic textbook in survival analysis." (Technometrics, Vol. 45, No. 4, November 2003)More details
Series
Edition
3., Auflage
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
Professional and scholarly
Edition type
Revised edition
Illustrations
tables, references
Dimensions
Height: 24 cm
Width: 16.1 cm
Thickness: 29 mm
Weight
850 gr
ISBN-13
978-0-471-36997-4 (9780471369974)
Schweitzer Classification
Other editions
New editions
Elisa T. Lee | John Wenyu Wang
Statistical Methods for Survival Data Analysis
Book
11/2013
4th Edition
Wiley
€139.00
Shipment within 15-20 days
Persons
ELISA T. LEE, PhD, is George Lynn Cross Research Professor of Biostatistics and Epidemiology and Director of the Center for American Indian Health Research at the University of Oklahoma Health Sciences Center. She received a master's degree from the University of California at Berkeley and her doctorate from New York University. The author of the previous editions of Statistical Methods for Survival Data Analysis, Professor Lee is a Fellow of the American Statistical Association and member of the Society for Epidemiological Research and the American Diabetes Association.
JOHN WENYU WANG, PhD, is an Associate Professor of Biostatistics at the University of Oklahoma Health Sciences Center. He received a master's degree from the Academy of Sciences of China and his doctorate from the University of Maryland.
Content
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.