Statistical methods for survival data analysis
Résumé
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 with 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.
Contents
- 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: Nonproportional Hazards Models
- Identification of Risk Factors Related to Dichotomous and Polychotomous Outcomes
- Appendices
- References
- Index
L'auteur - Elisa T. Lee
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.
L'auteur - John Wenyu Wang
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.
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Wiley |
| Auteur(s) | Elisa T. Lee, John Wenyu Wang |
| Parution | 26/05/2003 |
| Édition | 3eme édition |
| Nb. de pages | 528 |
| Format | 16 x 24 |
| Couverture | Relié |
| Poids | 860g |
| Intérieur | Noir et Blanc |
| EAN13 | 9780471369974 |
| ISBN13 | 978-0-471-36997-4 |
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