Evaluating the robustness of targeted maximum likelihood estimators via realistic simulations in nutrition intervention trials

Research article (Statistics in Medicine, 2022) · cited 13× · AI/ML
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Evaluating the robustness of targeted maximum likelihood estimators via realistic simulations in nutrition intervention trials

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Evaluating the robustness of targeted maximum likelihood estimators via realistic simulations in nutrition intervention trials is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Evaluating the robustness of targeted maximum likelihood estimators via realistic simulations in nutrition intervention trials. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-the-robustness-of-targeted-maximum-likelihood-estimators-via-realistic-simulations-in-nutrition-intervention-
MLA “Evaluating the robustness of targeted maximum likelihood estimators via realistic simulations in nutrition intervention trials.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-the-robustness-of-targeted-maximum-likelihood-estimators-via-realistic-simulations-in-nutrition-intervention-.
BibTeX @misc{4ortxyz_evaluating-the-robustness-of-targeted-maximum-likelihood-estimators-via-realistic-simulations-in-nutrition-intervention-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating the robustness of targeted maximum likelihood estimators via realistic simulations in nutrition intervention trials}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-the-robustness-of-targeted-maximum-likelihood-estimators-via-realistic-simulations-in-nutrition-intervention-}, note = {Accessed: 2026-05-24}}
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