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Maximum agreement regression with magreg

Author

Listed:
  • Matteo Bottai

    (Karolinska Institutet)

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.

Suggested Citation

  • Matteo Bottai, 2025. "Maximum agreement regression with magreg," Stata Journal, StataCorp LLC, vol. 25(1), pages 237-243, March.
    • Handle: RePEc:tsj:stataj:v:25:y:2025:i:1:p:237-243
    DOI: 10.1177/1536867X251322972
    Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj25-1/st0773/
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