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Emphasizing the parallels between linear and logistic regression, Scott Menard explores logistic regression analysis and demonstrates its usefulness in analyzing dichotomous, polytomous nominal, and polytomous ordinal dependent variables. The book is aimed at readers with a background in bivariate and multiple linear regression.
Incl. linear regression & the logistic regression model/ interpreting the logistic regression coefficients/etc.
Linear Regression and the Logistic Regression Model
Summary Statistics for Evaluating the Logistic Regression Model
Interpreting the Logistic Regression Coefficients
An Introduction to Logistic Regression Diagnostics
Polytomous Logistic Regression and Alternatives to Logistic Regression