From Clinical Trials to Real-World Impact: Introducing a Computational Framework to Detect Endpoint Bias in Opioid Use Disorder Research Article

Odom, Gabriel J, Brandt, Laura, Marker, Aaron et al. (2025). From Clinical Trials to Real-World Impact: Introducing a Computational Framework to Detect Endpoint Bias in Opioid Use Disorder Research . DRUG AND ALCOHOL REVIEW, 45(1), 10.1111/dar.70085

cited authors

  • Odom, Gabriel J; Brandt, Laura; Marker, Aaron; Giorgi, Salvatore; Jainarain, Ganesh; Schwartz, H Andrew; Au, Larry; Castro, Clinton

sustainable development goals

authors

publication date

  • December 7, 2025

published in

keywords

  • BUPRENORPHINE
  • DEPENDENCE
  • Life Sciences & Biomedicine
  • MAINTENANCE
  • MULTICENTER
  • NALTREXONE
  • Science & Technology
  • Substance Abuse
  • algorithmic bias
  • demographic parity
  • open-source software
  • opioid use disorder
  • performance variance

Digital Object Identifier (DOI)

publisher

  • WILEY

volume

  • 45

issue

  • 1