Modern Biostatistical Methods for Evidence-Based Global Health Research / Emerging Topics in Statistics and Biostatistics (PDF)
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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. 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.
Samuel Manda is a Professor and Head of the Department of Statistics, University of Pretoria, Pretoria, South Africa. He also holds Extraordinary Professorships at the Universities of Stellenbosch and North-West His main research interests concentrate on modern statistical methods for the analysis of survival, multivariate spatial data; and evidence and data combination. He has recently started working on multivariate small area estimation and causal effect estimation. He has also been involved with the analysis of COVID 19 transmission parameters and prediction in sub-Saharan Africa. . He has published more than 150 peer-reviewed publications and book chapters
Tobias Chirwa is currently the Head of the University of the Witwatersrand (Wits) School of Public Health (SPH). He is also the current Programme Director for the Sub-Saharan Africa Consortium for Advanced Biostatistics training (SSACAB) and co-leads the National Institutes of Health (NIH) Fogarty and WHO/TDR funded Implementation Science/Research program. He has developed and led capacity building initiatives including PhD programs, MSc programs in biostatistics, informatics and implementation science at University of Malawi (UNIMA) and Wits. Tobias has co-authored more than 95 internationally peer-reviewed articles. His methodological applications of interests are in longitudinal and survival data analysis.
- 2022, 1st ed. 2022, 480 Seiten, Englisch
- Herausgegeben: Ding-Geng (Din) Chen, Samuel O. M. Manda, Tobias F. Chirwa
- Verlag: Springer International Publishing
- ISBN-10: 3031110129
- ISBN-13: 9783031110122
- Erscheinungsdatum: 25.11.2022
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