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Look Inside Regression for Health and Social Science

Regression for Health and Social Science
Applied Linear Models with R

£49.99

textbook

Author: Daniel Zelterman, Yale University, Connecticut

Date Published: May 2022
availability: In stock
format: Hardback
isbn: 9781108478182

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Description

Contents

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About the Authors

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 example. All of the R code is provided and carefully explained, allowing readers to quickly apply the methods to their own data. Plenty of exercises help students think about the issues involved in the analysis and its interpretation. Code and datasets are available for download from the book's website at www.cambridge.org/zelterman
- 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
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Product details
- Date Published: May 2022
- format: Hardback
- isbn: 9781108478182
- length: 294 pages
- dimensions: 250 x 174 x 18 mm
- weight: 0.68kg
- availability: In stock
Table of Contents
Preface
Preface to revised edition
Acknowledgments
1. Introduction
2. Principles of statistics
3. Introduction to linear regression
4. Assessing the regression
5. Multiple linear regression
6. Indicators, interactions, and transformations
7. Nonparametric statistics
8. Logistic regression
9. Diagnostics for logistic regression
10. Poisson regression
11. Survival analysis
12. Proportional hazards regression
13. Review of methods
Appendix: statistical distributions
Selected solutions and hints
References
Index.
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Author
Daniel Zelterman, Yale University, Connecticut
Daniel Zelterman, PhD, is Professor Emeritus, Department of Biostatistics, at Yale University. His application areas include work in clinical trial designs for cancer studies. Before moving to Yale in 1995, he was on the faculty of the University of Minnesota and at the State University of New York at Albany. He is an elected Fellow of the American Statistical Association. In his spare time he plays oboe and bassoon and has backpacked hundreds of miles of the Appalachian Trail.