Using Stata graphics as a method of understanding and presenting interaction effects
Joanne Garrett (joanne_garrett@med.unc.edu)
Additional contact information
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
References: Add references at CitEc
Citations:
Downloads: (external link)
http://repec.org/nasug2005/Garrett.ppt presentation slides (application/x-mspowerpoint)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:boc:asug05:11
Access Statistics for this paper
More papers in North American Stata Users' Group Meetings 2005 from Stata Users Group Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum (baum@bc.edu).