Interpreting and Comparing Effects in Logistic, Probit, and Logit Regression J. Brent Morris Narayana's best-seller gives its reader

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Interpreting and Comparing Effects in Logistic, Probit, and Logit Regression J. Brent Morris Narayana's best-seller gives its readerInterpreting Effects in Logistic Regression and Logit Models shows how to compare coefficient estimates from regression models for categorical dependent variables in three typical research situations: (i) within one model, (ii) between identical models estimated in different subgroups, and (iii) between nested models. Additionally, this volume presents a practical, unified treatment of comparison problems and considers the advantages and disadvantages