Product Review

LOGISTIC REGRESSION: BINARY & MULTINOMIAL

An illustrated tutorial and introduction to binary and multinomial logistic regression using SPSS, SAS, or Stata for examples. Suitable for introductory graduate-level study.

The 2016 edition is a major update to the 2014 edition. Among the new features are these:

- Now 40% longer - 314 pages (224 pages total)
- Now covers marginal (probability) analysis revealing effects conditional on covariate values
- Major expansion of coverage of residual analysis
- Topics include binary, multinomial, conditional logistic models; stepwise logistic regression; ROC curves; interpretation of odds ratios, logit coefficients, significance; bootstrapping and jackknifing; assumptions; FAQs; and much more.
- Worked examples for SPSS, SAS, and Stata
- Dozens of new illustrations and figures
- Revised and updated throughout
- Links to all datasets used in the text.