Quantitative Epidemiology (Hardcover, 1st ed. 2021)

This book is designed to train graduate students across disciplines within the fields of public health and medicine, with the goal of guiding them in the transition to independent researchers. It focuses on theories, principles, techniques, and methods essential for data processing and quantitative analysis to address medical, health, and behavioral challenges. Students will learn to access to existing data and process their own data, quantify the distribution of a medical or health problem to inform decision making; to identify influential factors of a disease/behavioral problem; and to support health promotion and disease prevention. Concepts, principles, methods and skills are demonstrated with SAS programs, figures and tables generated from real, publicly available data. In addition to various methods for introductory analysis, the following are featured, including 4-dimensional measurement of distribution and geographic mapping, multiple linear and logistic regression, Poisson regression, Cox regression, missing data imputing, and statistical power analysis.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Emerging Topics in Statistics and Biostatistics
Release date:	February 2022
First published:	2021
Authors:	Xinguang Chen
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	336
Edition:	1st ed. 2021
ISBN-13:	978-3-03-083851-5
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:	3-03-083851-X
Barcode:	9783030838515

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