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Supplementary Materials: Variable selection in linear mixed model meta-regression with suspected interaction effects - How can tree-based methods help?

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DataCite Commons2026-03-06 更新2026-05-05 收录
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https://data.tu-dortmund.de/citation?persistentId=doi:10.17877/TUDODATA-2026-3CDZSS
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<p> Supplementary Material to the Manuscript "Variable selection in linear mixed model meta-regression with suspected interaction effects - How can tree-based methods help?" </p> <p> The files provided here constitute the Supplementary Material for the manuscript containing: <ol> <li>A PDF file containing all supporting tables and figures.</li> <li>The code and results of the re-analysis of the meta-analysis by Kimmoun et al. (Section 3 of the manuscript)</li> <li>Simulation study materials (Section 4) All relevant files for the simulation study, in particular the simulated data and the R code on which the simulations are based (Section 4 of the manuscript). </li> </ol> </p> The folder structure for the code and output files is explained in the Readme.txt file. <hr> <p> Authors:<br> Jan-Bernd Igelmann, ORCiD: <a href="https://orcid.org/0009-0001-6994-4945">0009-0001-6994-4945</a><sup>a</sup><br> Paula Lorenz, ORCiD: <a href="https://orcid.org/0009-0001-1949-400X">0009-0001-1949-400X</a><sup>a</sup><br> Markus Pauly, ORCiD: <a href="https://orcid.org/0000-0002-0976-7190">0000-0002-0976-7190</a><sup>a,b</sup> </p> <p> <sup>a</sup> Department of Statistics, TU Dortmund University, Germany<br> <sup>b</sup> Research Center Trustworthy Data Science and Security, UA Ruhr, Germany </p> <p> Contact:<br> Jan-Bernd Igelmann: <a href="mailto:janbernd.igelmann@tu-dortmund.de">janbernd.igelmann@tu-dortmund.de</a> </p>
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2026-02-24
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