Statistical Methods for Survival Data Analysis.

Praise for the iThird Edition/i/ ". . . an easy-to read introduction to survival analysis which covers the major concepts and techniques of the subject." 'iStatistics in Medical Research/i/ Updated and expanded to reflect the latest developments, iStatistical Methods for Survival Data...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Lee, Elisa T.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Wiley, 2013.
Colección:Wiley series in probability and statistics
Temas:
Medicine > Research > Statistical methods.
Failure time data analysis.
Prognosis > Statistical methods.
Médecine > Recherche > Méthodes statistiques.
Analyse des temps entre défaillances.
Pronostics (Pathologie) > Méthodes statistiques.
MATHEMATICS > Probability & Statistics > General.
Failure time data analysis
Medicine > Research > Statistical methods
Prognosis > Statistical methods
Electronic books.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Intro
  • Statistical Methods for Survival Data Analysis
  • Copyright
  • Contents
  • Preface
  • 1 Introduction
  • 1.1 Preliminaries
  • 1.2 Censored Data
  • 1.2.1 Type I Censoring
  • 1.2.2 Type II Censoring
  • 1.2.3 Type III Censoring
  • 1.3 Scope of the Book
  • 2 Functions of Survival Time
  • 2.1 Definitions
  • 2.1.1 Survivorship Function (or Survival Function)
  • 2.1.2 Probability Density Function (or Density Function)
  • 2.1.3 Hazard Function
  • 2.2 Relationships of the Survival Functions
  • Exercises
  • 3 Examples of Survival Data Analysis
  • 3.1 Example 3.1: Comparison of Two Treatments and Three Diets
  • 3.1.1 Comparison of Two Treatments
  • 3.1.2 Comparison of Three Diets
  • 3.2 Example 3.2: Comparison of Two Survival Patterns Using Life Tables
  • 3.3 Example 3.3: Fitting Survival Distributions to Tumor-Free Times
  • 3.4 Example 3.4: Comparing Survival of a Cohort with that of a General Population
  • Relative Survival
  • 3.5 Example 3.5: Identification of Risk Factors for Incident Events
  • 3.6 Example 3.6: Identification of Risk Factors for the Prevalence of Age-Related Macular Degeneration
  • 3.7 Example 3.7: Identification of Significant Risk Factors for Incident Hypertension Using Related Data (Repeated Measurements) in a Longitudinal Study
  • Exercises
  • 4 Nonparametric Methods of Estimating Survival Functions
  • 4.1 Product-Limit Estimates of Survivorship Function
  • 4.2 N elson-Aalen Estimates of Survivorship Function
  • 4.3 Life-Table Analysis
  • 4.3.1 Population Life Tables
  • 4.3.2 Clinical Life Tables
  • 4.4 Relative Survival Rates
  • 4.5 Standardized Rates and Ratios
  • Exercises
  • 5 Nonparametric Methods for Comparing Survival Distributions
  • 5.1 Comparison of Two Survival Distributions
  • 5.1.1 Gehan's Generalized Wilcoxon Test
  • 5.1.2 The Cox-Mantel Test
  • 5.1.3 The Logrank Test
  • 5.1.4 Peto and Peto's Generalized Wilcoxon Test
  • 5.1.5 Cox's F-Test
  • 5.1.6 Comments on the Tests
  • 5.2 The Mantel and Haenszel Test
  • 5.3 Comparison of K (K > 2) Samples
  • 5.3.1 An Extended Test Using Scores
  • 5.3.2 Extended Logrank (Chi-Square) Test
  • Exercises
  • 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, Generalized Gamma, and Extended Generalized Gamma Distributions
  • 6.5 Log-Logistic Distribution
  • 6.6 Other Survival Distributions
  • Exercises
  • 7 Estimation Procedures for Parametric Survival Distributions Without Covariates
  • 7.1 General Maximum Likelihood Estimation Procedure
  • 7.1.1 Estimation Procedures for Data with Right-Censored Observations
  • 7.1.2 Estimation Procedures for Data with Right-, Left-, and Interval-Censored Observations
  • 7.2 Exponential Distribution
  • 7.2.1 One-Parameter Exponential Distribution

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