Browsing Titles index "Understanding and diagnosing the potential for bias when using machine learning methods with doubly robust causal estimators"
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Understanding and diagnosing the potential for bias when using machine learning methods with doubly robust causal estimators
(SAGE, 2018-05-02)Data-adaptive methods have been proposed to estimate nuisance parameters when using doubly robust semiparametric methods for estimating marginal causal effects. However, in the presence of near practical positivity violations, these methods can produce ...