A Theorem at the Core of Colliding Bias

Doron J. Shahar, Eyal Shahar

Research output: Research - peer-reviewArticle

Abstract

Conditioning on a shared outcome of two variables can alter the association between these variables, possibly adding a bias component when estimating effects. In particular, if two causes are marginally independent, they might be dependent in strata of their common effect. Explanations of the phenomenon, however, do not explicitly state when dependence will be created and have been largely informal. We prove that two, marginally independent, causes will be dependent in a particular stratum of their shared outcome if and only if they modify each other's effects, on a probability ratio scale, on that value of the outcome variable. Using our result, we also qualify the claim that such causes will "almost certainly" be dependent in at least one stratum of the outcome: dependence must be created in one stratum of a binary outcome, and independence can be maintained in every stratum of a trinary outcome.

LanguageEnglish (US)
Article number20160055
JournalInternational Journal of Biostatistics
Volume13
Issue number1
DOIs
StatePublished - 2017

Fingerprint

Theorem
Dependent
Conditioning
State dependence
Binary Outcomes
If and only if
Independence

Keywords

  • Causal diagram
  • Colliding bias
  • Effect modification
  • Independence

ASJC Scopus subject areas

  • Statistics and Probability
  • Medicine(all)
  • Statistics, Probability and Uncertainty

Cite this

A Theorem at the Core of Colliding Bias. / Shahar, Doron J.; Shahar, Eyal.

In: International Journal of Biostatistics, Vol. 13, No. 1, 20160055, 2017.

Research output: Research - peer-reviewArticle

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