Quantifying Sex Bias in Clinical Studies at Scale With Automated Data Extraction

@article{Feldman2019QuantifyingSB,
  title={Quantifying Sex Bias in Clinical Studies at Scale With Automated Data Extraction},
  author={Sergey Feldman and Waleed Ammar and Kyle Lo and E. Trepman and Madeleine van Zuylen and Oren Etzioni},
  journal={JAMA Network Open},
  year={2019},
  volume={2}
}
  • Sergey Feldman, Waleed Ammar, +3 authors Oren Etzioni
  • Published 2019
  • Medicine
  • JAMA Network Open
  • Importance Analyses of female representation in clinical studies have been limited in scope and scale. [...] Key MethodDesign, Setting, and Participants In this cross-sectional study, clinical studies from published articles from PubMed from 1966 to 2018 and records from Aggregate Analysis of ClinicalTrials.gov from 1999 to 2018 were identified.Expand Abstract
    State of the evidence: a survey of global disparities in clinical trials

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