Logistic Regression: A Primer

by Fred C. Pampel

This volume helps readers understand the intuitive logic behind logistic regression through nontechnical language and simple examples. The Second Edition presents results from several statistical packages to help interpret the meaning of logistic regression coefficients, presents more detail on variations in logistic regression for multicategory outcomes, and describes some potential problems in interpreting logistic regression coefficients. A companion website includes the three data sets and Stata, SPSS, and R commands needed to reproduce all the tables and figures in the book. Finally, the Appendix reviews the meaning of logarithms, and helps readers understand the use of logarithms in logistic regression as well as in other types of models.

Genres: Science, Sociology

152 pages, Kindle Edition

First published May 26, 2000

Reviews

[Richard Kališ · Rating 5 out of 5]

This is an excellent book—everything one needs to conduct applied economics or other social science empirical work using the simplest discrete choice models. It’s easy to read, packed with useful examples, and user-friendly. Highly recommended.

[Matej Vitáloš · Rating 5 out of 5]

I reached for the book primarily because of the chapter on interpretations, but ended up devouring the whole thing. It is highly accessible, full of examples and illustrations. Great job by the author!
(review of the revised edition)

[Nmoversae Company · Rating 5 out of 5]

I enjoyed reading this book
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شركة نقل اثاث دبي
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[Melanie · Rating 3 out of 5]

Was disappointed that no clear list of the assumptions was provided and at the lack of discussion regarding diagnostics.