Estimating treatment effects with machine learning.

Journal: Health services research
Published Date:

Abstract

OBJECTIVE: To demonstrate the performance of methodologies that include machine learning (ML) algorithms to estimate average treatment effects under the assumption of exogeneity (selection on observables).

Authors

  • K John McConnell
    Center for Health Systems Effectiveness, Oregon Health & Science University, Portland, Oregon.
  • Stephan Lindner
    Center for Health Systems Effectiveness, Oregon Health & Science University, Portland, Oregon.