Overview
- Emphasizes application through scientific reasoning and project development
- Illustrates key principles and methods with examples, real data, and SAS
- Promotes transition from guided research to independent research through practice, using a step-by-step approach
Part of the book series: Emerging Topics in Statistics and Biostatistics (ETSB)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (10 chapters)
-
Front Matter
-
Back Matter
Keywords
- quantitative methods
- descriptive study
- etiology
- causal inference
- bivariate analysis
- exploratory analysis
- preliminary data
- multivariate analysis
- population-based rate
- geographic area-based rate
- SAS programs
- existing data
- secondary data analysis
- survey methods
- sample weights
- linear regression
- logistic regression
- Poisson regression
- Cox regression
- survival analysis
About this book
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, Poissonregression, Cox regression, missing data imputing, and statistical power analysis.
Authors and Affiliations
About the author
Professor Xinguang Chen is a fellow of the American College of Epidemiology, a professor of epidemiology with tenure at the University of Florida, and a chair professor at Wuhan University Global Health Institute. He serves as coeditor-in-chief of Global Health Research and Policy, deputy editor-in-chief of Global Health Journal, coeditor of Statistical Methods for Global Health and Epidemiology (with D.-G. Chen, Springer 2020), and advisory board member of the WHO-China Information Collaboration Center at People’s Health Publication House of China. Professor Chen is well known for his long standing in quantitative method research and graduate teaching in public health, medicine and health behaviors. He has published 300+ manuscripts in peer-reviewed journals, 5 authored books, and a list of book chapters and encyclopedia entries.
Bibliographic Information
Book Title: Quantitative Epidemiology
Authors: Xinguang Chen
Series Title: Emerging Topics in Statistics and Biostatistics
DOI: https://doi.org/10.1007/978-3-030-83852-2
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-83851-5Published: 23 February 2022
Softcover ISBN: 978-3-030-83854-6Published: 24 February 2023
eBook ISBN: 978-3-030-83852-2Published: 22 February 2022
Series ISSN: 2524-7735
Series E-ISSN: 2524-7743
Edition Number: 1
Number of Pages: XX, 336
Number of Illustrations: 30 b/w illustrations, 170 illustrations in colour
Topics: Applied Statistics, Epidemiology, Biostatistics, Public Health