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Applied Logistic Regression Analysis (Quantitative Applications in the Social Sciences),New
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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 casewise data throughout the book Updated discussion of the properties and appropriate use of goodness of fit measures, Rsquare analogues, and indices of predictive efficiency Discussion of the misuse of odds ratios to represent risk ratios, and of overdispersion and underdispersion for grouped dataUpdated coverage of unordered and ordered polytomous logistic regression models.
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