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Prior research indicates that 10–15 cases or controls, whichever fewer, are required per parameter to reliably estimate regression coefficients in multivariable logistic regression models. This condition may be difficult to meet even in a well‐designed study when the number of potential confounders is large, the outcome is rare, and/or interactions are of interest. Various propensity score approaches...
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