Logistic Regression: Binary & Multinomial: 2016 Edition (Statistical Associates "Blue Book" Series Book 2)
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Logistic Regression: Binary & Multinomial: 2016 Edition (Statistical Associates "Blue Book" Series Book 2)
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.