Causal diagrams and the logic of matched case-control studies

Eyal Shahar, Doron J. Shahar

Research output: Contribution to journalArticle

12 Scopus citations

Abstract

It is tempting to assume that confounding bias is eliminated by choosing controls that are identical to the cases on the matched confounder(s). We used causal diagrams to explain why such matching not only fails to remove confounding bias, but also adds colliding bias, and why both types of bias are removed by conditioning on the matched confounder(s). As in some publications, we trace the logic of matching to a possible tradeoff between effort and variance, not between effort and bias. Lastly, we explain why the analysis of a matched case-control study - regardless of the method of matching - is not conceptually different from that of an unmatched study.

Original languageEnglish (US)
Pages (from-to)137-144
Number of pages8
JournalClinical Epidemiology
Volume4
Issue number1
DOIs
StatePublished - May 14 2012

Keywords

  • Case-control study
  • Causal diagrams
  • Colliding bias
  • Confounding bias
  • Directed acyclic graphs
  • Matching
  • Variance

ASJC Scopus subject areas

  • Epidemiology

Fingerprint Dive into the research topics of 'Causal diagrams and the logic of matched case-control studies'. Together they form a unique fingerprint.

  • Cite this