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Empirical Likelihood Methods in Biomedicine and Health / by Albert Vexler and Jihnhee Yu.

By: Vexler, Albert [author.]Contributor(s): Yu, Jihnhee [author.] | Taylor and FrancisMaterial type: Text

TextLanguage: English Publisher: Boca Raton, FL : Chapman and Hall/CRC, 2018Edition: First editionDescription: 1 online resource (318 pages) : 42 illustrations, text file, PDFContent type: text Media type: computer Carrier type: online resourceISBN: 9781351001526Subject(s): MEDICAL / Epidemiology | Medical informatics -- Research -- Methodology | Bioethics -- Research -- Methodology | Biology | Epidemiology | Mathematical statisticsGenre/Form: Electronic books.Additional physical formats: Print version: : No titleOnline resources: Click here to view. Also available in print format.

Contents:

Preliminaries. --Basic Ingredients of the Empirical Likelihood.--EL Applying to Bayesian Paradigm. -- EL for probability weighted moments. -- Two group comparison and combining likelihoods for the incomplete data. -- Quantile Comparisons. --Empirical Likelihood for a U-Statistic Constraint. -- --EL Application to Receiver Operating Characteristic Curve analysis. -- Various topics. --

Abstract: Empirical Likelihood Methods in Biomedicine and Health provides a compendium of nonparametric likelihood statistical techniques in the perspective of health research applications. It includes detailed descriptions of the theoretical underpinnings of recently developed empirical likelihood-based methods. The emphasis throughout is on the application of the methods to the health sciences, with worked examples using real data. The book material is attractive and easily understandable to scientists who are new to the research area and may attract statisticians interested in learning more about advanced nonparametric topics including various modern empirical likelihood methods. The book can be used by graduate students majoring in biostatistics, or in a related field, particularly for those who are interested in nonparametric methods with direct applications in Biomedicine.

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Includes bibliographical references and index.

Empirical Likelihood Methods in Biomedicine and Health provides a compendium of nonparametric likelihood statistical techniques in the perspective of health research applications. It includes detailed descriptions of the theoretical underpinnings of recently developed empirical likelihood-based methods. The emphasis throughout is on the application of the methods to the health sciences, with worked examples using real data. The book material is attractive and easily understandable to scientists who are new to the research area and may attract statisticians interested in learning more about advanced nonparametric topics including various modern empirical likelihood methods. The book can be used by graduate students majoring in biostatistics, or in a related field, particularly for those who are interested in nonparametric methods with direct applications in Biomedicine.

Also available in print format.