Empirical Likelihood Method in Survival Analysis

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  • Engels
  • Paperback
  • 9780367377571
  • 05 september 2019
  • 220 pagina's
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Add the Empirical Likelihood to Your Nonparametric Toolbox

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 empirical likelihood for censored data. It also covers semi-parametric accelerated failure time models, the optimality of confidence regions derived from empirical likelihood or plug-in empirical likelihood ratio tests, and several empirical likelihood confidence band results.

While survival analysis is a classic area of statistical study, the empirical likelihood methodology has only recently been developed. Until now, just one book was available on empirical likelihood and most statistical software did not include empirical likelihood procedures. Addressing this shortfall, this book provides the functions to calculate the empirical likelihood ratio in survival analysis as well as functions related to the empirical likelihood analysis of the Cox regression model and other hazard regression models.

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Inhoud

Taal
en
Bindwijze
Paperback
Oorspronkelijke releasedatum
05 september 2019
Aantal pagina's
220
Illustraties
Nee

Betrokkenen

Hoofdauteur
Mai Zhou
Hoofduitgeverij
Chapman & Hall/Crc

Overige kenmerken

Extra groot lettertype
Nee
Product breedte
156 mm
Product lengte
234 mm
Studieboek
Nee
Verpakking breedte
156 mm
Verpakking hoogte
234 mm
Verpakking lengte
234 mm
Verpakkingsgewicht
453 g

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EAN
9780367377571

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