Explore cutting-edge biostatistical theories and methods crucial for evidence-based global health research. This comprehensive hardcover book, written by leading scholars Ding-Geng (Din) Chen, Samuel O. M. Manda, and Tobias F. Chirwa, offers an in-depth look at recent advances in global health applications. It covers essential topics including data harmonization and analysis, systematic review and statistical meta-analysis, spatial-temporal modeling and disease mapping, Bayesian statistical modeling, and statistical methods for longitudinal and survival data. This invaluable resource is designed for both expert biostatisticians and health researchers actively involved in methodological applications within global health. It is particularly relevant for countries at the forefront of global health research. Key Features: * Comprehensive overview of emerging biostatistical theories and methods. * Applications focused on evidence-based global health research. * Contributions from top scholars in biostatistical method development for global health. * Covers advanced topics like Bayesian modeling and spatial-temporal analysis. * Essential for biostatisticians and health researchers. Product Summary: Modern Biostatistical Methods for Evidence-Based Global Health Research, Hardcover, English, 480 pages, First edition, ISBN 9783031110115, by Ding-Geng (Din) Chen, Samuel O. M. Manda, Tobias F. Chirwa. Published by Springer Cham.