Targeted maximum likelihood estimation
PulseAugur coverage of Targeted maximum likelihood estimation — every cluster mentioning Targeted maximum likelihood estimation across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New causal inference framework evaluates AI medical devices
Researchers have developed a new causal inference framework to evaluate the effectiveness of diagnostic tests and AI-enabled medical devices. This approach distinguishes between explanatory effectiveness, which measures…
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New Causal Inference Framework for Benefit-Risk Evaluation Unveiled
Researchers have developed a novel framework for causal inference to evaluate the desirability of outcome ranking (DOOR) in benefit-risk assessments. This framework quantifies DOOR probability by analyzing marginal ordi…
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New TMLE method improves vaccine effectiveness analysis with missing data
Researchers have developed a new targeted maximum likelihood estimation (TMLE) approach for analyzing test-negative design (TND) studies, particularly those with missing data in exposure variables. This semiparametric l…