Concepedia

Log Odds and the Interpretation of Logit Models

Edward C. Norton, Bryan Dowd

Health Services Research · 2017 · 258 citations · 18 references

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Abstract

To communicate information regarding the effect of explanatory variables on binary {0,1} dependent variables, average marginal effects are generally preferable to odds ratios, unless the data are from a case-control study.

References

18

Interaction terms in logit and probit models

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Logistic Regression: Why We Cannot Do What We Think We Can Do, and What We Can Do About It

Carina Mood · European Sociological Review · 2009 · 3.1K citations

The Role of the Scale Parameter in the Estimation and Comparison of Multinomial Logit Models

Joffre Swait́, Jordan J. Louviere · Journal of Marketing Research · 1993 · 1.1K citations

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Comparing Logit and Probit Coefficients Across Groups

Paul D. Allison · Sociological Methods & Research · 1999 · 1K citations

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Estimation of Limited Dependent Variable Models With Dummy Endogenous Regressors

Joshua D. Angrist · Journal of Business and Economic Statistics · 2001 · 853 citations

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