Maximum agreement regression with magreg

Matteo Bottai ()
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Matteo Bottai: Karolinska Institutet

Stata Journal, 2025, vol. 25, issue 1, 237-243

Abstract: This note describes magreg, a command for estimating the coefficients of maximum-agreement regression models for an outcome variable given covariates. Recently introduced by Bottai et al. (2022, American Statistician 76: 313–321), maximum agreement regression maximizes the concordance correlation between the predicted values and the observed outcome values. The syntax of the command is nearly identical to that of regress, which estimates least-squares regression. This note shows the features of the command and its possible applications through a data example.

Keywords: magreg; linear regression; Pearson’s correlation; Lin’s concordance correlation (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1177/1536867X251322972

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