Regression for health and social science : applied linear models with R /
This textbook for students in nontechnical scientific fields 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 im...
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| Format: | Book |
| Language: | English |
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Cambridge ; New York :
Cambridge University Press,
[2022].
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| Summary: | This textbook for students in nontechnical scientific fields 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 non-parametric 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 to think about the issues involved in the analysis and its interpretation. |
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| Item Description: | Revised edition of: Applied linear models with SAS, 2010. |
| Physical Description: | xvi, 278 pages : illustrations ; 25 cm. |
| Bibliography: | Includes bibliographical references (pages [272]-273) and index. |
| ISBN: | 9781108478182 1108478182 |