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A quantitative assessment of the frequency and magnitude of heterogeneous treatment effects in studies of the health effects of social policies
16 references·0 citing·49 second hop
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References

  • 2010Conducting Meta-Analyses in R with the metafor Package20,490 cited
  • 1998Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory, and Antiracist Politics5,759 cited
  • 2014The Statistical Crisis in Science1,010 cited
  • 2010Is a subgroup effect believable? Updating criteria to evaluate the credibility of subgroup analyses806 cited
  • 2003Moving to Opportunity: an Experimental Study of Neighborhood Effects on Mental Health791 cited
  • 2020Development of the Instrument to assess the Credibility of Effect Modification Analyses (ICEMAN) in randomized controlled trials and meta-analyses750 cited
  • 2006Sex differences in the effect of education on depression: Resource multiplication or resource substitution?595 cited
  • 2020On Racism: A New Standard For Publishing On Racial Health Inequities468 cited
  • 2017A multilevel approach to modeling health inequalities at the intersection of multiple social identities433 cited
  • 2012Credibility of claims of subgroup effects in randomised controlled trials: systematic review395 cited
  • 2009Dealing with heterogeneity of treatment effects: is the literature up to the challenge?114 cited
  • 2021Introduction to Meta-Analysis112 cited
  • 2014Subgroup analyses in randomised controlled trials: cohort study on trial protocols and journal publications103 cited

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2013
Invited Commentary: Off-Roading With Social Epidemiology—Exploration, Causation, Translation
40 cited
  • 2018Justification and reporting of subgroup analyses were lacking or inadequate in randomized controlled trials31 cited
  • 2019A systematic survey identified 36 criteria for assessing effect modification claims in randomized trials or meta-analyses24 cited
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