Regression for Health and Social Science

Regression for Health and Social Science by Daniel Zelterman

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

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.

SKU	Unavailable
ISBN 13	9781108478182
ISBN 10	1108478182
Title	Regression for Health and Social Science
Author	Daniel Zelterman
Condition	Unavailable
Binding Type	Hardback
Publisher	Cambridge University Press
Year published	2022-05-12
Number of pages	294
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
Note	Unavailable