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Bog, paperback Nonparametric Bayesian Inference in Biostatistics af Riten Mitra

Nonparametric Bayesian Inference in Biostatistics (Frontiers in Probability and the Statistical Sciences)

(Bog, paperback)

49 black & white illustrations, 47 colour illustrations, 22 black & white tables, biography

49 black & white illustrations, 47 colour illustrations, 22 black & white tables, biography

Produktdetaljer:

Sprog:
Engelsk
ISBN-13:
9783319368177
Sideantal:
465
Udgivet:
04-11-2016
Udgave:
Softcover reprint of the original 1st ed. 2015
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Forlagets beskrivelse
49 black & white illustrations, 47 colour illustrations, 22 black & white tables, biography
Bibliotekernes beskrivelse
As chapters in this book demonstrate, BNP has important uses in clinical sciences and inference for issues like unknown partitions in genomics. Nonparametric Bayesian approaches (BNP) play an ever expanding role in biostatistical inference from use in proteomics to clinical trials. Many research problems involve an abundance of data and require flexible and complex probability models beyond the traditional parametric approaches. As this book's expert contributors show, BNP approaches can be the answer. Survival Analysis, in particular survival regression, has traditionally used BNP, but BNP's potential is now very broad. This applies to important tasks like arrangement of patients into clinically meaningful subpopulations and segmenting the genome into functionally distinct regions. This book is designed to both review and introduce application areas for BNP. While existing books provide theoretical foundations, this book connects theory to practice through engaging examples and research questions. Chapters cover: clinical trials, spatial inference, proteomics, genomics, clustering, survival analysis and ROC curve.

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