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MULTISPLINE: Stata module to perform nonlinear multilevel spline modeling

Author

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  • Subir Hait

    (Michigan State University)

Programming Language

Abstract

multispline fits nonlinear multilevel regression models using natural cubic spline basis expansion. It provides a unified workflow for fitting, predicting, visualizing, and summarizing nonlinear effects in hierarchical or longitudinal data. The command is particularly suited to large-scale education and health datasets such as ECLS-K, HSLS, and PISA where outcomes are expected to have nonlinear relationships with predictors such as socioeconomic status (SES) or treatment dosage. While Stata provides mixed for multilevel models and mkspline for spline construction, no existing Stata command provides a unified workflow for fitting, predicting, visualizing, and computing ICCs from nonlinear multilevel models. multispline fills this gap.

Suggested Citation

  • Subir Hait, 2026. "MULTISPLINE: Stata module to perform nonlinear multilevel spline modeling," Statistical Software Components S459620, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s459620
    Note: This module should be installed from within Stata by typing "ssc install multispline". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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    File URL: http://fmwww.bc.edu/repec/bocode/m/multispline.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/m/multispline.sthlp
    File Function: help file
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/m/multispline_example.do
    File Function: program code
    Download Restriction: no
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