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Propensity score analysis is a common approach to addressing confounding in non-randomized studies. Its implementation, however, requires important assumptions (e.g., positivity). The disease risk score is an alternative confounding score that can relax some of these assumptions. Like the propensity score, the disease risk score summarizes multiple confounders into a single score, on which conditioning by matching allows the estimation of causal effects.
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