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Modern Biostatistical Methods for Evidence-Based Global Health Research

Modern Biostatistical Methods for Evidence-Based Global Health Research

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Product Details
Author:
Ding-Geng Chen, Tobias F. Chirwa, Samuel O. M. Manda
Publisher:
Springer International Publishing AG
Publication Date:
Nov 26, 2022
Binding:
Hardback
ISBN-13:
9783031110115
ISBN10:
3031110110

Overview

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.

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.






  • | Author: Ding-Geng Chen, Tobias F. Chirwa, Samuel O. M. Manda
  • | Publisher: Springer International Publishing AG
  • | Publication Date: Nov 26, 2022
  • | Number of Pages:
  • | Language:
  • | Binding: Hardback
  • | ISBN-13: 9783031110115
  • | ISBN-10: 3031110110

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