The focus in this Second Edition is again on logistic regression models for individual level data, but aggregate
or grouped data are also considered. The book includes detailed discussions of goodness of fit, indices of predictive
efficiency, and standardized logistic regression coefficients, and examples using SAS and SPSS are included.
More detailed consideration of grouped as opposed to case-wise data throughout the book
Updated discussion of the properties and appropriate use of goodness of fit measures, R-square analogues, and
indices of predictive efficiency
Discussion of the misuse of odds ratios to represent risk ratios, and of over-dispersion and under-dispersion
for grouped data
Updated coverage of unordered and ordered polytomous logistic regression models.
