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property, and discuss a class of estimators that have this property. We introduce a targeted minimum loss-based estimator (TMLE …. We investigate the new estimator’s performance relative to other estimators, including another TMLE, a propensity score …
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Abstract Robins et al. (2004 , Comparative Quantification of Health Risks: Global and Regional Burden of Disease Attributable to Selected Major Risk Factors. Geneva: World Health Organization) introduced the extended g-formula to estimate from observational data the risk of failure under...
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This article presents a command, indirect, for the estimation of effects of multiple treatments in the absence of randomized controlled trials for direct comparisons of interventions. Copyright 2014 by StataCorp LP.
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minimum loss–based estimator (CV-TMLE) counterpart. These estimators are proven consistent and efficient under certain … estimators of the treatment and outcome mechanisms. Because the CV-TMLE is a substitution estimator, it is more robust than the … the CV-TMLE and the CV-A-IPTW are explored in a simulation study.  …
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estimation (TMLE). Through causal analysis, we operationalize the set of scientific questions that we wish to address regarding … the dative alternation. Drawing on the philosophy of TMLE, we answer these questions by targeting some versatile machine …
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