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predict and adjust with logistic regression

Author

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  • Maarten L. Buis

    (Department of Social Research Methodology, Vrije Universiteit Amsterdam)

Abstract

Within Stata there are two ways of getting average predicted values for different groups after an estimation command: adjust and predict. After OLS regression (regress), these two ways give the same answer. However, after logistic regression, the average predicted probabilities differ. This article discusses where that difference comes from and the consequent subtle difference in interpretation. Copyright 2007 by StataCorp LP.

Suggested Citation

  • Maarten L. Buis, 2007. "predict and adjust with logistic regression," Stata Journal, StataCorp LP, vol. 7(2), pages 221-226, June.
    • Handle: RePEc:tsj:stataj:v:7:y:2007:i:2:p:221-226
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    References listed on IDEAS

    as
    1. Tamás Bartus, 2005. "Estimation of marginal effects using margeff," Stata Journal, StataCorp LP, vol. 5(3), pages 309-329, September.
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    Cited by:

    1. Maarten L. Buis, 2010. "Direct and indirect effects in a logit model," Stata Journal, StataCorp LP, vol. 10(1), pages 11-29, March.

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