Mai Zhou

Empirical Likelihood Method in Survival Analysis (eBook, PDF)

• Format: PDF

Produktbeschreibung

This book explains how to use the empirical likelihood method for right censored survival data. It 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. 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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 220
• Erscheinungstermin: 17. Juni 2015
• Englisch
• ISBN-13: 9781466554931
• Artikelnr.: 43978653

Autorenporträt

Mai Zhou is a professor in the Department of Statistics at the University of Kentucky. His research interests include large sample theory and survival analysis. He earned a PhD from Columbia University.

Inhaltsangabe

Introduction. Empirical Likelihood for Linear Functionals of Hazard.
Empirical Likelihood for Linear Functionals of the Cumulative Distribution
Function. Empirical Likelihood Analysis of the Cox Model. Empirical
Likelihood Analysis of Accelerated Failure Time Models. Computation of
Empirical Likelihood Ratio with Censored Data. Optimality of Empirical
Likelihood and Plug-in Empirical Likelihood. Miscellaneous. Bibliography.
Index.