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Empirical Likelihood Method in Survival Analysis
Af: Mai Zhou
Engelsk
Bogcover for Empirical Likelihood Method in Survival Analysis af Mai Zhou, 9780367377571
Specifikationer
Sprog:
Engelsk
Sider:
220
ISBN-13:
9780367377571
Indbinding:
Paperback
ISBN-10:
0367377578
Udg. Dato:
5 sep 2019
Størrelse i cm:
15,5 x 23,4 x 2,0
Oplagsdato:
5 sep 2019
Forfatter(e):

Empirical Likelihood Method in Survival Analysis

Af: Mai Zhou
Engelsk
Paperback 2019
Format:

Bog beskrivelse

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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Specifikationer
Sprog:
Engelsk
Sider:
220
ISBN-13:
9780367377571
Indbinding:
Paperback
ISBN-10:
0367377578
Udg. Dato:
5 sep 2019
Størrelse i cm:
15,5 x 23,4 x 2,0
Oplagsdato:
5 sep 2019
Forfatter(e):
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