The focus in this Second Edition is on logistic regression models for individual
level (but aggregate or grouped) data. Multiple cases for each possible combination of
values of the predictors are considered in detail and examples using SAS and SPSS
included. New to this edition:
More detailed consideration of grouped as opposed to casewise data throughout the book
Updated discussion of the properties and appropriate use of goodness of fit measures,
R2 analogues, and indices of predictive efficiency
Discussion of the misuse of odds ratios to represent risk ratios, and of
overdispersion and underdispersion for grouped data
Updated coverage of unordered and ordered polytomous logistic regression models.
Paperback
128 pages