Applied Logistic Regression Analysis (Quantitative Applications

Applied Logistic Regression AnalysisAuthor(s): Scott Menard\nFormat: Paperback\nPublisher: SAGE Publications Inc, United States\nImprint: SAGE Publications Inc\nISBN-13: 9780761922087, 978-0761922087\nSynopsis\nThe 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. \n\nMore detailed consideration of grouped as opposed to case-wise data throughout the book \nUpdated discussion of the properties and appropriate use of goodness of fit measures, R-square analogues, and indices of predictive efficiency \nDiscussion of the misuse of odds ratios to represent risk ratios, and of over-dispersion and under-dispersion for grouped data \n\nUpdated coverage of unordered and ordered polytomous logistic regression mode.