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.