In recent years, there has been a growing emphasis on making statistical methods and analytics accessible to health data science researchers and students. Following the first book on "Statistical Analytics for Health Data Science with SAS and R" (2023, www.routledge.com/9781032325620), this book serves as a comprehensive reference for health data scientists, bridging fundamental statistical principles with advanced analytical techniques. By providing clear explanations of statistical theor...

A novel theory of how technological revolutions affect the rise and fall of great powersWhen scholars and policymakers consider how technological advances affect the rise and fall of great powers, they draw on theories that center on the moment of innovation—the eureka moment that sparks astonishing technological feats. In this book, Jeffrey Ding offers a different explanation of how technological revolutions affect competition among great powers.Rather tha...

A novel theory of how technological revolutions affect the rise and fall of great powersWhen scholars and policymakers consider how technological advances affect the rise and fall of great powers, they draw on theories that center the moment of innovation—the eureka moment that sparks astonishing technological feats. In this book, Jeffrey Ding offers a different explanation of how technological revolutions affect competition among great powers. Rather than focusing...

This book aims to compile typical fundamental-to-advanced statistical methods to be used for health data sciences. Although the book promotes applications to health and health-related data, the models in the book can be used to analyze any kind of data. The data are analyzed with the commonly used statistical software of R/SAS (with online supplementary on SPSS/Stata). The data and computing programs will be available to facilitate readers’ learning experience. There has been considerable ...