Advances in Public Health Statistics and Data Analytics (en Inglés) - Ding-Geng Chen

This book presents the most advanced Public Health Statistical modeling and data analytics in essential component in evidence-based public health decision. Modeling such as Poisson Regression, Joinpoint Regression, SIRD Model and Game Theory in Public Health and Medical Studies.

Advances in Public Health Statistics and Data Analytics is an essential component in evidence-based public health decision-making. To promote the research and development in public health statistics, this book is contributed from the leadership team at the Applied Public Health Statistics (APHS) Section from the American Public Health Association(APHA).

The primary aim of this book is to stimulate research, foster collaboration among statistical and public health researchers, and provide valuable opportunities for further academic and professional interactions. As a timely and authoritative resource, it serves as a reference for professionals, researchers, and graduate students in public health research and applications. The latest advancements presented in this volume are invaluable for both practitioners and academics seeking to navigate the evolving landscape of public health statistical science and data analytics.