Statistical Methods for Global Health and Epidemiology - Principles, Methods and Applications (Paperback, 1st ed. 2020)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	ICSA Book Series in Statistics
Release date:	April 2021
First published:	2020
Editors:	Xinguang Chen • (Din) Ding-Geng Chen
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	413
Edition:	1st ed. 2020
ISBN-13:	978-3-03-035262-2
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General Promotions
LSN:	3-03-035262-5
Barcode:	9783030352622

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