About the book
Using every-day examples and numerous exercises, this text covers the basics of linear models with a minimum of mathematics. The emphasis is on issues involved in the analysis and the interpretation of computer output. R code is provided and explained allowing readers to apply the methods to their own data.
Editions of Regression for Health and Social Science
- Hardcover
- ISBN 9781108478182
Read an Excerpt
Using every-day examples and numerous exercises, this text covers the basics of linear models with a minimum of mathematics. The emphasis is on issues involved in the analysis and the interpretation of computer output. R code is provided and explained allowing readers to apply the methods to their own data.
Frequently Asked Questions
What is Regression for Health and Social Science about?
Using every-day examples and numerous exercises, this text covers the basics of linear models with a minimum of mathematics. The emphasis is on issues involved in the analysis and the interpretation of computer output. R code is provided and explained allowing readers to apply the methods to their own data.
What core themes, tropes, or subjects are explored in Regression for Health and Social Science?
Mathematics and Science > Mathematics > Probability and statistics
Where can I read a sample of Regression for Health and Social Science?
You can read an official preview of the few pages here https://www.book2look.com/book/9781108478182
How long is Regression for Health and Social Science and how many pages does it have?
Regression for Health and Social Science has 294 page(s)
Who is/are the Author/s of the book Regression for Health and Social Science?
Daniel Zelterman
What are the ISBN numbers for the physical and digital editions?
Regression for Health and Social Science is available as hardcover(ISBN 9781108478182)
Where can I buy Regression for Health and Social Science online or support local independent bookshops?
You can buy Regression for Health and Social Science from below
Where can I buy Regression for Health and Social Science?