Quantitative Epidemiology - Brossura

Chen, Xinguang

Brossura

ISBN 10: 3030838544 ISBN 13: 9783030838546

Casa editrice: Springer, 2023

Riassunto

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.  

Su questo libro

Informazioni sull'autore

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.

Dalla quarta di copertina

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. 

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 3030838544
• ISBN 13: 9783030838546
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 356
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Germania