Logistic Regression: A Primer

by Fred C. Pampel

Trying to determine when to use a logistic regression and how to interpret the coefficients? Frustrated by the technical writing in other books on the topic? Pampel's book offers readers the first "nuts and bolts" approach to doing logistic regression through the use of careful explanations and worked out examples. Pampel first offers readers a review of some basic concepts, such as exponents, percentage change, and likelihood functions. Next, he describes in some detail how taking the log of the odds eliminates the floor so that the transformation of logistic regression coefficients into coefficients that effect odds and probabilities makes more sense to readers. And, third, he describes maximum likelihood estimation through words and simple samples (along side of the formulas) so as to make the concept more concrete and the procedure easier to comprehend. Throughout the book, he emphasizes examples, explanations, and how to interpret the results of each procedure. This book will enable readers to use and understand logistic regression techniques and will serve as a foundation for more advanced treatments of the topic.

Genres: Science, Sociology

98 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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[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.