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.

Whether you are a seasoned biostatistician or a health researcher searching for new ways to advance your research, this book offers a comprehensive overview of the latest developments in biostatistical theories and methods. Edited by Ding-Geng (Din) Chen, Samuel O. M. Manda, and Tobias F. Chirwa, three renowned experts in the field, this book brings together the top scholars engaged in biostatistical method development for global health research.

The book is divided into five main parts, each covering a crucial aspect of evidence-based global health research. The first part focuses on data harmonization and analysis, providing insights into how to effectively handle and analyze large and complex datasets. The second part delves into systematic review and statistical meta-analysis, highlighting the importance of synthesizing evidence from multiple studies to generate robust conclusions.

The third part explores spatial-temporal modeling and disease mapping, showing how statistical techniques can be used to uncover patterns and trends in disease occurrence and distribution. The fourth part introduces Bayesian statistical modeling, a powerful approach that allows researchers to incorporate prior knowledge and uncertainty into their analyses. Finally, the fifth part explores statistical methods for longitudinal data and survival data, providing useful tools for analyzing time-to-event outcomes.

One of the key strengths of this book is its practical approach. Each chapter is written by experts in the field and provides real-world examples and case studies to illustrate the application of biostatistical methods in global health research. The authors walk the reader through the analytical process step-by-step, explaining the underlying concepts and assumptions along the way.

Additionally, the book is packed with practical tips and insights that can help researchers overcome common challenges in global health research. From data collection and quality control to study design and statistical analysis, the authors provide guidance on every stage of the research process. This makes the book an invaluable resource for both novice and experienced researchers alike.

Moreover, the book emphasizes the importance of evidence-based decision-making in global health. The authors highlight the need for rigorous biostatistical methods to ensure that research findings are accurate, reliable, and reproducible. They also discuss the implications of their research for policy-making and public health interventions, showing how biostatistics can contribute to improving global health outcomes.

Overall, this book is a must-have resource for anyone involved in evidence-based global health research. Its comprehensive coverage of biostatistical theories and methods, combined with its practical approach and real-world examples, make it an essential tool for researchers and practitioners alike. Whether you are a biostatistician, a health researcher, or a policymaker, this book has something valuable to offer.

Don’t miss out on the latest developments in biostatistical theories and methods for evidence-based global health research. Order your copy of this groundbreaking book today and take your research to the next level!

Product Details

• Publisher: Springer; 1st ed. 2022 edition (November 26, 2022)
• Language: English
• eBook Digital: 503 pages
• ISBN-10: 3031110110
• ISBN-13: 978-3031110115