Pseudo-random Number Generator Influences on Average Treatment Effect Estimates Obtained with Machine Learning.

Journal: Epidemiology (Cambridge, Mass.)
PMID: 39150879

Abstract

BACKGROUND: The use of machine learning to estimate exposure effects introduces a dependence between the results of an empirical study and the value of the seed used to fix the pseudo-random number generator.

Authors

  • Ashley I Naimi
  • Ya-Hui Yu
    From the Department of Epidemiology, Emory University.
  • Lisa M Bodnar
    Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA, Magee-Womens Research Institute, University of Pittsburgh, Pittsburgh, PA.

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