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METATEF: Stata module to perform IPD meta analysis of an interaction between treatment and a continuous covariate

Author

Listed:
  • Patrick Royston

    (University College London)

Programming Language

Stata

Abstract

metatef models an interaction between a response variable (yvar) and a fractional polynomial (FP) function of a continuous covariate (xvar), optionally adjusting for other variable(s) specified in adjust(). Estimated "treatment effect functions" are averaged across the studies specified by by(). metatef assembles a weighted mean curve and pointwise confidence interval based on a treatment x covariate interaction estimated in several studies. The variables used to adjust for confounding in multivariable models may differ between the studies, in which case adjust() may consist of an 'index' (linear predictor) representing the estimated confounder adjustment from each study. It is strongly recommended that the index be standardised to have mean zero. The user must specify, in fixpowers(), the FP powers to be used to model the main effect of xvar and its interaction with trtvar. To specify a linear function, enter fixpowers(1). See Sauerbrei & Royston (2011) for a description of a closely related problem.

Suggested Citation

  • Patrick Royston, 2017. "METATEF: Stata module to perform IPD meta analysis of an interaction between treatment and a continuous covariate," Statistical Software Components S459003, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s459003
    Note: This module should be installed from within Stata by typing "ssc install metatef". 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.
    as

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    File URL: http://fmwww.bc.edu/repec/bocode/m/metatef.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/m/metatef.sthlp
    File Function: help file
    Download Restriction: no
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