Statistical Methods for Survival Data Analysis

前表紙
John Wiley & Sons, 2003/08/01 - 534 ページ
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.
 

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目次

1 Introduction
1
2 Functions of Survival Time
8
3 Examples of Survival Data Analysis
19
4 Nonparametric Methods of Estimating Survival Functions
64
5 Nonparametric Methods for Comparing Survival Distributions
106
6 Some WellKnown Parametric Survival Distributions and Their Applications
134
7 Estimation Procedures for Parametric Survival Distributions without Covariates
162
8 Graphical Methods for Survival Distribution Fitting
198
11 Parametric Methods for Regression Model Fitting and Identification of Prognostic Factors
256
12 Identification of Prognostic Factors Related to Survival Time Cox Proportional Hazards Model
298
13 Identification of Prognostic Factors Related to Survival Time Nonproportional Hazards Models
339
14 Identification of Risk Factors Related to Dichotomous and Polychotomous Outcomes
377
Appendix A NewtonRaphson Method
428
Appendix B Statistical Tables
433
References
488
Index
511

9 Tests of Goodness of Fit and Distribution Selection
221
10 Parametric Methods for Comparing Two Survival Distributions
243
著作権

他の版 - すべて表示

Statistical Methods for Survival Data Analysis
Elisa T. Lee,John Wang
プレビュー不可 - 2003

多く使われている語句

analysis applied Assume BMDP calculated cancer cens censored censored observations Chapter chi-square coefficients Compute Consider covariates death defined degrees of freedom denote density function diet discussed disease effective equal estimated event Example Exercise exponential distribution factors failure Figure gamma distribution given gives glucose groups hazard function illustrates important independent individual interval lacr likelihood function log-likelihood log-logistic logistic regression lognormal mean method months normal null hypothesis observations obtained odds parameters patients person plot population probability procedure prognostic proportional hazards model ratio recurrence regression model rejected remission residuals respectively response risk sample selection significant similar smoke standard statistic stratum subjects Suppose survival data survivorship function Table term treatment uncensored values variables Weibull distribution

この書籍への参照

著者について (2003)

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.

書誌情報

書籍名Statistical Methods for Survival Data Analysis
Wiley Series in Probability and Statistics 第 第 476 巻 巻
著者Elisa T. Lee, John Wang
版3, イラスト付き
出版社John Wiley & Sons, 2003
ISBN0471458554, 9780471458555
ページ数534 ページ
  
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