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Modern Inference Based on Health-Related Markers : Biomarkers and Statistical Decision Making

By: Albert Vexler (Edited by) , PhD. Zhou Jiaojiao (Edited by) , Jihnhee Yu (Edited by)

3 in stock

Ksh 28,250.00

Format: Paperback or Softback

ISBN-10: 0128152478

ISBN-13: 9780128152478

Publisher: Elsevier Science Publishing Co Inc

Imprint: Academic Press Inc

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Mar 22nd, 2024

Publication Status: Active

Product extent: 422 Pages

Weight: 668.00 grams

Dimensions (height x width x thickness): 15.10 x 22.80 x 2.30 cms

Product Classification / Subject(s): Biotechnology industries
Personal & public health

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Modern Inference Based on Health Related Markers: Biomarkers and Statistical Decision Making provides a compendium of biomarkers based methodologies for respective health related fields and health related marker-specific biostatistical techniques. The book introduces correct and efficient testing mechanisms, including procedures based on bootstrap and permutation methods with the aim of making these techniques assessable to practical researchers. In the biostatistical aspect, it describes how to correctly state testing problems, but it also includes novel results, which have appeared in current statistical publications. In addition, the book discusses also modern applied statistical developments that consider data-driven techniques, including empirical likelihood methods and other simple and efficient methods to derive statistical tools for use in health related studies.

Modern Inference Based on Health Related Markers: Biomarkers and Statistical Decision Making provides a compendium of biomarkers based methodologies for respective health related fields and health related marker-specific biostatistical techniques. The book introduces correct and efficient testing mechanisms, including procedures based on bootstrap and permutation methods with the aim of making these techniques assessable to practical researchers. In the biostatistical aspect, it describes how to correctly state testing problems, but it also includes novel results, which have appeared in current statistical publications.

In addition, the book discusses also modern applied statistical developments that consider data-driven techniques, including empirical likelihood methods and other simple and efficient methods to derive statistical tools for use in health related studies.


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