Logistic Regression: From Introductory to Advanced Concepts and Applications

by Scott Menard

In this text, author Scott Menard provides coverage of not only the basic logistic regression model but also advanced topics found in no other logistic regression text. The book keeps mathematical notation to a minimum, making it accessible to those with more limited statistics backgrounds, while including advanced topics of interest to more statistically sophisticated readers. Not dependent on any one software package, the book discusses limitations to existing software packages and ways to overcome them.

Key Features    Logistic Regression is intended for courses such as Regression and Correlation, Intermediate/Advanced Statistics, and Quantitative Methods taught in departments throughout the behavioral, health, mathematical, and social sciences, including applied mathematics/statistics, biostatistics, criminology/criminal justice, education, political science, public health/epidemiology, psychology, and sociology.

392 pages, Hardcover

First published April 24, 2009

Reviews

[Ryan QuickReads · Rating 4 out of 5]

Seems to be a good deep dive into logistic regression. Chapters are mostly self contained past the intro