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Modern Biostatistical Methods for Evidence-Based Global Health Research (Emerging Topics in Statistics and Biostatistics)

By: Ding-Geng Chen (Edited by) , Samuel O. M. Manda (Edited by) , Tobias F. Chirwa (Edited by)

1 in stock

Ksh 34,200.00

Format: Hardback or Cased Book

ISBN-10: 3031110110

ISBN-13: 9783031110115

Collection / Series: Emerging Topics in Statistics and Biostatistics

Collection Type: Publisher collection

Edition statement: 2022 ed.

Publisher: Springer International Publishing AG

Imprint: Springer International Publishing AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Nov 26th, 2022

Publication Status: Active

Product extent: 480 Pages

Weight: 914.00 grams

Dimensions (height x width x thickness): 16.30 x 24.10 x 3.50 cms

Product Classification / Subject(s): Bayesian inference
Life sciences: general issues

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This book provides an overview of the emerging topics in biostatistical theories and methods through their applications to evidence-based global health research and decision-making.

This book provides an overview of the emerging topics in biostatistical theories and methods through their applications to evidence-based global health research and decision-making. It brings together some of the top scholars engaged in biostatistical method development on global health to highlight and describe recent advances in evidence-based global health applications. The volume is composed of five main parts: data harmonization and analysis; systematic review and statistical meta-analysis; spatial-temporal modeling and disease mapping; Bayesian statistical modeling; and statistical methods for longitudinal data or survival data.

It is designed to be illuminating and valuable to both expert biostatisticians and to health researchers engaged in methodological applications in evidence-based global health research. It is particularly relevant to countries where global health research is being rigorously conducted.




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