Applied Logistic Regression Analysis
- Scott Menard - Sam Houston State University, USA, University of Colorado, USA
· 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.