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Most textbooks on regression focus on theory and the simplest of examples. Real statistical problems, however, are complex and subtle. This is not a book about the theory of regression. It is about using regression to solve real problems of comparison, estimation, prediction, and causal inference. Unlike other books, it focuses on practical issues such as sample size and missing data and a wide range of goals and techniques. It jumps right in to methods and computer code you can use immediately. Real examples, real stories from the authors' experience demonstrate what regression can do and its limitations, with practical advice for understanding assumptions and implementing methods for experiments and observational studies. They make a smooth transition to logistic regression and GLM. The emphasis is on computation in R and Stan rather than derivations, with code available online. Graphics and presentation aid understanding of the models and model fitting.
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1
Regression and Other Stories
Jul 23, 2020, Cambridge University Press
Paperback; Hardcover
in English
110702398X 9781107023987
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2
Regression and Other Stories
2020, University of Cambridge ESOL Examinations
in English
1107676517 9781107676510
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3
Regression and Other Stories
2020, University of Cambridge ESOL Examinations
in English
1139161873 9781139161879
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Source title: Regression and Other Stories (Analytical Methods for Social Research)
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- Created July 23, 2020
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December 16, 2022 | Edited by MARC Bot | import existing book |
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