Applied Logistic Regression Analysis

by Scott William Menard (Editor)

Emphasizing the parallels between linear and logistic regression, Scott Menard explores logistic regression analysis and demonstrates its usefulness in analyzing dichotomous, polytomous nominal, and polytomous ordinal dependent variables. The book is aimed at readers with a background in bivariate and multiple linear regression.

104 pages, Paperback

First published June 29, 1995

Reviews

[Nmoversae Company · Rating 5 out of 5]

I enjoyed reading this book
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[J. Scott Frampton · Rating 3 out of 5]

This is a good book. It provides a clear understanding of logistic regression analysis. I use it as a textbook for a number of my statistics courses.

[Steven Peterson · Rating 4 out of 5]

Logistic regression analysis is an analogue to multiple regression--with the dependent variable pitched at the dichotomous level (just two values). It is a pretty sturdy statistical technique, not demanding a lot of assumptions about the nature of dependent and independent variables. This book is not terribly accessible (I get headaches in some sections), but it is a very nice brief introduction to the subject.

[Walker*Management*Library · Rating 5 out of 5]

Recommended by Dawn Iacobucci for wannabe geeks.