Quantitative Epidemiology is popular PDF and ePub book, written by Xinguang Chen in 2022-02-22, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Quantitative Epidemiology can be Read Online from any device for your convenience.
Quantitative Epidemiology Book PDF Summary
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.
Detail Book of Quantitative Epidemiology PDF
- Author : Xinguang Chen
- Release : 22 February 2022
- Publisher : Springer Nature
- ISBN : 9783030838522
- Genre : Mathematics
- Total Page : 353 pages
- Language : English
- PDF File Size : 15,6 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Quantitative Epidemiology by Xinguang Chen, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.