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Using Stata graphics as a method of understanding and presenting interaction effects

Joanne Garrett ()
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Joanne Garrett: Robert Wood Johnson Clinical Scholars Program, University of North Carolina at Chapel Hill

North American Stata Users' Group Meetings 2005 from Stata Users Group

Abstract: It is fairly simple to add an interaction term (also known as “effect modification” to epidemiologists) to a linear or logistic regression model, and test whether that term is statistically significant. However, it is much more difficult to explain what a significant interaction means in an intuitive way. A graphical representation of the interaction effect may help. Stata graphics can be used to give students a better understanding of what is actually happening when interaction is present. This can be helpful before introducing the mathematical approach and interpretation in a model. Graphing interactions also can be used as a simple method of exploratory data analysis, or for reporting final results in a non-statistical way in presentations or journal articles. Up-to-date versions of the programs may be obtained via ssc install predxcat and ssc install predxcon.

Date: 2005-07-12
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Persistent link: https://EconPapers.repec.org/RePEc:boc:asug05:11

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