Regression for Health and Social Science: Applied Linear Models With R

Zelterman, Daniel

ISBN 10: 1108478182 / ISBN 13: 9781108478182

Published by Cambridge Univ Pr, 2022

About this Item

1st edition. 278 pages. 9.75x7.00x0.75 inches. In Stock.

Seller Inventory # x-1108478182

Bibliographic Details

• Title: Regression for Health and Social Science: Applied Linear Models With R
• Publisher: Cambridge Univ Pr
• Publication Date: 2022
• Language: English
• ISBN 10: 1108478182
• ISBN 13: 9781108478182
• Binding: Hardcover
• Condition: Brand New
• Weight: 0.68 kilograms

About this title

Synopsis

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

About the Author

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.