Regression for Health and Social Science Applied Linear Models with R
- Textbook
Description
This textbook for students in the health and social sciences covers the basics of linear model methods with a minimum of mathematics, assuming only a pre-calculus background. Numerous examples drawn from the news and current events with an emphasis on health issues, illustrate the concepts in an immediately accessible way. Methods covered include linear regression models, Poisson regression, logistic regression, proportional hazards regression, survival analysis, and nonparametric regression. The author emphasizes interpretation of computer output in terms of the motivating…
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Key features
- Accessible, not mathematically demanding
- Everyday examples allow students to understand the concepts without needing a lot of scientific context
- R code is carefully explained, with an emphasis on interpreting the output
About the book
- DOI https://doi.org/10.1017/9781108784504
- Subjects Epidemiology Public Health and Medical Statistics,Health and Medicine,Statistics and Probability,Statistics for Life Sciences, Medicine and Health
- Format: Hardback
- Publication date: 28 July 2022
- ISBN: 9781108478182
- Dimensions (mm): 244 x 170 mm
- Weight: 0.68kg
- Page extent: 294 pages
- Availability: In stock
- Format: Digital
- Publication date: 20 May 2022
- ISBN: 9781108784504
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