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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:
Acceso en línea:Texto completo

MARC

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100 1 |a Lee, Elisa T. 
245 1 0 |a Statistical Methods for Survival Data Analysis. 
260 |b Wiley,  |c 2013. 
300 |a 1 online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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490 0 |a Wiley series in probability and statistics 
588 0 |a Print version record. 
504 |a Includes bibliographical references and index. 
520 |a 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 Analysis, Fourth Edition/i continues to deliver a comprehensive introduction to the most commonly-used methods for analyzing survival data. Authored by a uniquely well-qualified author team, the Fourth Edition is a critically acclaimed guide to statistical methods with applications in clinical trials, epidemiology, areas of business, and the social sciences. The book features many real-world examples to illustrate applications within these various fields, although special consideration is given to the study of survival data in biomedical sciences./ Emphasizing the latest research and providing the most up-to-date information regarding software applications in the field, iStatistical Methods for Survival Data Analysis, Fourth Edition/i also includes:/ ulliMarginal and random effect models for analyzing correlated censored or uncensored data/liliMultiple types of two-sample and K-sample comparison analysis/liliUpdated treatment of parametric methods for regression model fitting with a new focus on accelerated failure time models/liliExpanded coverage of the Cox proportional hazards model/liliExercises at the end of each chapter to deepen knowledge of the presented material/li/ul iStatistical Methods for Survival Data Analysis/i is an ideal text for upper-undergraduate and graduate-level courses on survival data analysis. The book is also an excellent resource for biomedical investigators, statisticians, and epidemiologists, as well as researchers in every field in which the analysis of survival data plays a role. 
505 0 |a 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 
505 8 |a 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 
505 8 |a 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 
505 8 |a 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 
505 8 |a 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 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Medicine  |x Research  |x Statistical methods. 
650 0 |a Failure time data analysis. 
650 0 |a Prognosis  |x Statistical methods. 
650 6 |a Médecine  |x Recherche  |x Méthodes statistiques. 
650 6 |a Analyse des temps entre défaillances. 
650 6 |a Pronostics (Pathologie)  |x Méthodes statistiques. 
650 7 |a MATHEMATICS  |x Probability & Statistics  |x General.  |2 bisacsh 
650 7 |a Failure time data analysis  |2 fast 
650 7 |a Medicine  |x Research  |x Statistical methods  |2 fast 
650 7 |a Prognosis  |x Statistical methods  |2 fast 
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776 0 8 |i Print version:  |z 9781299907843 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=7103841  |z Texto completo 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL7103841 
938 |a ProQuest MyiLibrary Digital eBook Collection  |b IDEB  |n cis26247175 
938 |a Recorded Books, LLC  |b RECE  |n rbeEB00067023 
994 |a 92  |b IZTAP