Statistical methods for survival data analysis [[electronic resource] /] / Elisa T. Lee and John Wenyu Wang

• Record Nr.: UNINA9910143188603321
• Autore: Lee Elisa T
• Pubbl/distr/stampa: New York, : J. Wiley, c2003
• ISBN: 1-280-36622-2; 9786610366224; 0-470-35240-X; 0-471-45855-4; 0-471-45854-6
• Edizione: [3rd ed.]
• Descrizione fisica: 1 online resource (527 p.)
• Collana: Wiley series in probability and statistics
• Altri autori (Persone): WangJohn Wenyu
• Disciplina: 610.72; 610.724; 610/.72
• Soggetti: Medicine - Research - Statistical methods; Failure time data analysis; Prognosis - Statistical methods
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Statistical Methods for Survival Data Analysis; Contents; Preface; 1 Introduction; 1.1 Preliminaries; 1.2 Censored Data; 1.3 Scope of the Book; Bibliographical Remarks; 2 Functions of Survival Time; 2.1 Definitions; 2.2 Relationships of the Survival Functions; Bibliographical Remarks; Exercises; 3 Examples of Survival Data Analysis; 3.1 Example 3.1: Comparison of Two Treatments and Three Diets; 3.2 Example 3.2: Comparison of Two Survival Patterns Using Life Tables; 3.3 Example 3.3: Fitting Survival Distributions to Remission Data; 3.4 Example 3.4: Relative Mortality and Identification of Prognostic Factors3.5 Example 3.5: Identification of Risk Factors; Bibliographical Remarks; Exercises; 4 Nonparametric Methods of Estimating Survival Functions; 4.1 Product-Limit Estimates of Survivorship Function; 4.2 Life-Table Analysis; 4.3 Relative, Five-Year, and Corrected Survival Rates; 4.4 Standardized Rates and Ratios; Bibliographical Remarks; Exercises; 5 Nonparametric Methods for Comparing Survival ; Distributions; 5.1 Comparison of Two Survival Distributions; 5.2 Mantel-Haenszel Test; 5.3 Comparison of K (K > 2) Samples; Bibliographical RemarksExercises; 6 Some Well-Known Parametric Survival Distributions and Their Applications; 6.1 Exponential Distribution; 6.2 Weibull Distribution; 6.3 Lognormal Distribution; 6.4 Gamma and Generalized Gamma Distributions; 6.5 Log-Logistic Distribution; 6.6 Other Survival Distributions; Bibliographical Remarks; Exercises; 7 Estimation Procedures for Parametric Survival Distributions without Covariates; 7.1 General Maximum Likelihood Estimation Procedure; 7.2 Exponential Distribution; 7.3 Weibull Distribution; 7.4 Lognormal Distribution; 7.5 Standard and Generalized Gamma Distributions7.6 Log-Logistic Distribution; 7.7 Other Parametric Survival Distributions; Bibliographical Remarks; Exercises; 8 Graphical Methods for Survival Distribution Fitting; 8.1 Introduction; 8.2 Probability Plotting; 8.3 Hazard Plotting; 8.4 Cox-Snell Residual Method; Bibliographical Remarks; Exercises; 9 Tests of Goodness of Fit and Distribution Selection; 9.1 Goodness-of-Fit Test Statistics Based on Asymptotic Likelihood Inferences; 9.2 Tests for Appropriateness of a Family of Distributions; 9.3 Selection of a Distribution Using BIC or AIC Procedures9.4 Tests for a Specific Distribution with Known Parameters; 9.5 Hollander and Proschan's Test for Appropriateness of a Given Distribution with Known Parameters; Bibliographical Remarks; Exercises; 10 Parametric Methods for Comparing Two Survival Distributions; 10.1 Likelihood Ratio Test for Comparing Two Survival Distributions; 10.2 Comparison of Two Exponential Distributions; 10.3 Comparison of Two Weibull Distributions; 10.4 Comparison of Two Gamma Distributions; Bibliographical Remarks; Exercises; 11 Parametric Methods for Regression Model Fitting and Identification of Prognostic Factors
• Sommario/riassunto: 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