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.
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