Logistic Regression: Binary & Multinomial: 2016 Edition

by G. David Garson

LOGISTIC BINARY & MULTINOMIALAn 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 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.

368 pages, Kindle Edition

First published November 20, 2013

Reviews

[Dan · Rating 4 out of 5]

A great little book for what it is, though there are numerous copy errors that weren't caught during proofing. Helpful for anyone who uses SPSS, SAS, or Stata.

[Nmoversae Company · Rating 5 out of 5]

I enjoyed reading this book
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