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

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

<br /><br />LOGISTIC REGRESSION: BINARY & MULTINOMIAL<br /><br />An illustrated tutorial and introduction to binary and multinomial logistic regression using SPSS, SAS, or Stata for examples. Suitable for introductory graduate-level study.<br /><br />The 2016 edition is a major update to the 2014 edition. Among the new features are these:<br /><br />- Now 40% longer - 314 pages (224 pages total)<br />- Now covers marginal (probability) analysis revealing effects conditional on covariate values<br />- Major expansion of coverage of residual analysis<br />- 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.<br />- Worked examples for SPSS, SAS, and Stata<br />- Dozens of new illustrations and figures<br />- Revised and updated throughout<br />- Links to all datasets used in the text. <br />