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

Hardcover

ISBN 10: 3030352595 ISBN 13: 9783030352592

Publisher: Springer, 2020

Synopsis

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.

About this title

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 several book chapters and encyclopedia entries.

 

Professor (Din) Ding-Geng  Chen, PhD is an elected fellow of the American Statistical Association, the Wallace Kuralt Distinguished Professor at the School of Social Work, and a professor of biostatistics at the Gillings School of Global Public Health, University of North Carolina at Chapel Hill, USA. He is also an extraordinary professor at the department of statistics, University of Pretoria, South Africa. Professor Chen was a professor in biostatistics at the University of Rochester and the Karl E. Peace Endowed Eminent Scholar Chair in Biostatistics at Georgia Southern University, USA. He is also a senior statistics consultant for biopharmaceuticals and government agencies with extensive expertise in Monte-Carlo simulations, clinical trial biostatistics and public health statistics. Professor Chen has more than 200 referred professional publications, and he has co-authored/co-edited 28 books on clinical trial methodology, meta-analysis and public health applications. He has been invited nationally and internationally to give speeches on his research.

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 withmethods 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.

Edition details

• Publisher: Springer
• Publication date: 2020
• ISBN 10: 3030352595
• ISBN 13: 9783030352592
• Binding: Hardcover
• Language: English
• Edition number: 1
• Number of pages: 428
• Editor: Chen Xinguang, Chen (Din) Ding-Geng