Regression for Health and Social Science

Applied Linear Models with R

Regression for Health and Social Science
Daniel Zelterman
RRP:
NZ$ 102.95
Our Price:
NZ$ 92.66
Hardback
h250 x 174mm - 294pg
12 May 2022 UK
International import eta 7-19 days
9781108478182
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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.
Status: Active
ISBN-13: 9781108478182
Published: 12 May 2022
Published In: United Kingdom
Imprint: Cambridge University Press
Publisher: Cambridge University Press
Format: Hardback
Height: 250mm
Width: 174mm
Spine: 18mm
Weight: 680g
Pages: 294

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