Assessing Sensitivity to an Unobserved Binary Covariate in an Observational Study with Binary Outcome
Peter Rosenbauma, Donald B. Rubina
- aUniversity of Wisconsin , Madison , USA
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Abstract
SUMMARY This paper proposes a simple technique for assessing the range of plausible causal conclusions from observational studies with a binary outcome and an observed categorical covariate. The technique assesses the sensitivity of conclusions to assumptions about an unobserved binary covariate relevant to both treatment assignment and response. A medical study of coronary artery disease is used to illustrate the technique.
TL;DRA method for assessing the sensitivity of causal conclusions to an unmeasured patient characteristic relevant to both treatment assignment and response from observational studies with a binary outcome and an observed categorical covariate is proposed. (Semantic Scholar)