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

Book Details

Format Paperback / 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
Print length 422 Pages
Weight 668 grams
Dimensions 15.10 x 22.80 x 2.30 cms
Ksh 21,400.00
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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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