Modern Biostatistical Methods For Evidence Based Global Health Research
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Modern Biostatistical Methods for Evidence-Based Global Health Research
Author: Ding-Geng (Din) Chen
language: en
Publisher: Springer Nature
Release Date: 2022-11-25
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.
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"Biostatistician- The Comprehensive Guide" is an essential resource for anyone looking to delve into the intricate world of biostatistics, offering a clear, engaging, and comprehensive exploration of statistical methods in the context of biological research. This book stands out by weaving together theory and practice, enabling readers to grasp complex concepts while providing the tools needed to apply these techniques in real-world research settings. Designed for both beginners and seasoned professionals, it bridges the gap between statistical theory and its applications in biomedicine, making it a must-buy for anyone aiming to harness the power of data in life sciences. Without relying on images or illustrations, this guide focuses on the richness of written examples and the depth of explanations to ensure an accessible yet profoundly educational experience. It emphasizes practical skills, critical thinking, and the ethical considerations of biostatistical work, preparing readers not only to perform analyses but also to contribute to meaningful advancements in medical and biological research. Whether you're embarking on a career in biostatistics, seeking to improve your data analysis skills in a biological context, or aiming to make significant contributions to medical research, this book is your gateway to becoming a pivotal part of the future of life sciences.
Biostatistics
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