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Empirical likelihood method in survival analysis / Mai Zhou.

By: Material type: TextTextSeries: Chapman & Hall/CRC biostatistics seriesPublication details: Boca Raton : CRC Press, ©2016.Description: xvii, 202 p. : ill. ; 25 cmISBN:
  • 9781466554924 (hardcover : alk. paper)
Subject(s): DDC classification:
  • 000SA.14 23 Z63
Contents:
Chapter 1 -- Introduction; Chapter 2 -- Empirical Likelihood for Linear Functionals of Hazard; Chapter 3 -- Empirical Likelihood for Linear Functionals of the Cumulative Distribution Function; Chapter 4 -- Empirical Likelihood Analysis of the Cox Model; Chapter 5 -- Empirical Likelihood Analysis of Accelerated Failure Time Models; Chapter 6 -- Computation of Empirical Likelihood Ratio with Censored Data; Chapter 7 -- Optimality of Empirical Likelihood and Plug-in Empirical Likelihood; Chapter 8 -- Miscellaneous.
Summary: Empirical Likelihood Method in Survival Analysis explains how to use the empirical likelihood method for right censored survival data. The author uses R for calculating empirical likelihood and includes many worked out examples with the associated R code. The datasets and code are available for download on his website and CRAN.The book focuses on all the standard survival analysis topics treated with empirical likelihood, including hazard functions, cumulative distribution functions, analysis of the Cox model, and computation of empiric.
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Includes bibliographical references and index.

Chapter 1 -- Introduction;
Chapter 2 -- Empirical Likelihood for Linear Functionals of Hazard;
Chapter 3 -- Empirical Likelihood for Linear Functionals of the Cumulative Distribution Function;
Chapter 4 -- Empirical Likelihood Analysis of the Cox Model; Chapter 5 -- Empirical Likelihood Analysis of Accelerated Failure Time Models;
Chapter 6 -- Computation of Empirical Likelihood Ratio with Censored Data;
Chapter 7 -- Optimality of Empirical Likelihood and Plug-in Empirical Likelihood;
Chapter 8 -- Miscellaneous.

Empirical Likelihood Method in Survival Analysis explains how to use the empirical likelihood method for right censored survival data. The author uses R for calculating empirical likelihood and includes many worked out examples with the associated R code. The datasets and code are available for download on his website and CRAN.The book focuses on all the standard survival analysis topics treated with empirical likelihood, including hazard functions, cumulative distribution functions, analysis of the Cox model, and computation of empiric.

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