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 Elly Trepman and Madeleine van Zuylen and Oren Etzioni},
  journal={JAMA Network Open},
  year={2019},
  volume={2}
}
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.

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