Modern Biostatistical Methods for Evidence-Based Global Health Research (Hardcover, 1st ed. 2022)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Emerging Topics in Statistics and Biostatistics
Release date:	November 2022
First published:	2022
Editors:	Ding-Geng (Din) Chen • Samuel O. M. Manda • Tobias F. Chirwa
Dimensions:	235 x 155 x 35mm (L x W x T)
Format:	Hardcover
Pages:	480
Edition:	1st ed. 2022
ISBN-13:	978-3-03-111011-5
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General Promotions
LSN:	3-03-111011-0
Barcode:	9783031110115

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