Springer Statistical Methods for Global Health and Epidemiology: Principles, Methods and Applications (ICSA Book Series in Statistics)

Product Description This book examines statistical methods and models used in the fields of global health and epidemiology. It includes methods such as innovative probability sampling, data harmonization and encryption, and advanced descriptive, analytical and monitory methods. Program codes using R are included as well as real data examples.   Contemporary global health and epidemiology involves a myriad of medical and health challenges, including inequality of treatment, the HIV/AIDS epidemic and its subsequent control, the flu, cancer, tobacco control, drug use, and environmental pollution. In addition to its vast scales and telescopic perspective; addressing global health concerns often involves examining resource-limited populations with large geographic, socioeconomic diversities. Therefore, advancing global health requires new epidemiological design, new data, and new methods for sampling, data processing, and statistical analysis. This book provides global health researchers with methods that will enable access to and utilization of existing data.   Featuring contributions from both epidemiological and biostatistical scholars, this book is a practical resource for researchers, practitioners, and students in solving global health problems in research, education, training, and consultation. From the Back Cover This book examines statistical methods and models used in the fields of global health and epidemiology. It includes methods such as innovative probability sampling, data harmonization and encryption, and advanced descriptive, analytical and monitory methods. Program codes using R are included as well as real data examples. Contemporary global health involves a myriad of medical and health challenges, including inequality of treatment, the HIV/AIDS epidemic and its subsequent control, the flu, tobacco control, drug use, and environmental pollution. In addition to its vast scales and telescopic perspective, addressing global health concerns often involves examining resource-limited populations with large geographic, socioeconomic diversities. Therefore, advancing global health requires new epidemiological design, new data, and new methods for sampling, data processing, and statistical analysis. This book provides global health researchers with methods that will enable access to and utilization of existing data. Featuring contributions from both epidemiological and biostatistical scholars, this book is a practical resource for researchers, practitioners, and students in solving global health problems in research, education, training, and consultation. About the Author Professor Xinguang Chen, MD and PhD is an elected fellow of American College of Epidemiology and currently a tenure professor of epidemiology at the University of Florida. He is also a chair professor at Wuhan University Global Health Institute, editor-in-chief for Global Health Research and Policy, associate editor for Global Health Journal, and an advisory board member of the WHO-China Information Collaboration Center at People’s Publication House of China. Professor Chen is well known for his international and intercultural research on challenging medical and health issues, including HIV/AIDS, substance use, physical activity, cardiovascular disease, and cancer. In 2014, Professor Chen published a paper with Yale Journal of Biology and Medicine on global health for medical and health education. His research is guided by cross-cultural, transdisciplinary, and global perspectives, and it is characterized by advanced statistical and epidemiological methods and models particularly suitable for resource-limited settings. He has received continuous NIH funding for his methods and epidemiological research since the 1990s, and his research extends from the United States to China, Southeast Asia, and Latin America. He has published over 280 manuscripts in peer-reviewed journals, four authored books, and severa