Weaknesses of goodness-of-fit tests for evaluating propensity score models: the case of the omitted confounder
Pharmacoepidemiology and Drug Safety2004Vol. 14(4), pp. 227–238
Citations Over TimeTop 10% of 2004 papers
Abstract
Omission of important confounders from the propensity score leads to residual confounding in estimates of treatment effect. However, tests of GOF and discrimination do not provide information to detect missing confounders in propensity score models. Our findings suggest that it may not be necessary to compute GOF statistics or model discrimination when developing propensity score models.
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