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

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

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ISBN

9783031110115

Authors

Publisher

Springer

Published Date

2022

Language

‎English

Page Count

315

Size

6 MB

By Ding-Geng (Din) Chen, Samuel O. M. Manda, Tobias F. Chirwa 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. Product Details Publisher ‏ : ‎ Springer; 1st ed. 2022 edition (November 26, 2022) Language ‏ : ‎ English Hardcover ‏ : ‎ 503 pages ISBN-10 ‏ : ‎ 3031110110 ISBN-13 ‏ : ‎ 978-3031110115

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