Propensity score model overfitting led to inflated variance of estimated odds ratios.

Abstract

OBJECTIVE Simulation studies suggest that the ratio of the number of events to the number of estimated parameters in a logistic regression model should be not less than 10 or 20 to 1 to achieve reliable effect estimates. Applications of propensity score approaches for confounding control in practice, however, do often not consider these recommendations… (More)
DOI: 10.1016/j.jclinepi.2016.05.017

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