TMLE-PR and A-TMLE borrow information from non-subgroup participants in RCTs to improve efficiency of subgroup-specific treatment effect estimation, demonstrated on Black and Asian subgroups in the LEADER trial.
Jerome H Friedman
4 Pith papers cite this work. Polarity classification is still indexing.
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Develops Grenander-type and debiased machine learning estimators for the sublevel-set probability curve of the CATE function, shown to be non-pathwise differentiable, along with its piecewise linear approximation.
Factorized Active Querying (FAQ) provides up to 5 times more effective samples for LLM accuracy estimation by using Bayesian factor models and adaptive querying under a fixed budget with guaranteed coverage.
Bayesian-ARGOS is a hybrid frequentist-Bayesian method that discovers equations from limited noisy observations more efficiently than SINDy or bootstrap-ARGOS while adding uncertainty quantification.
citing papers explorer
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Improving the Efficiency of Subgroup Analysis in Randomized Controlled Trials with TMLE
TMLE-PR and A-TMLE borrow information from non-subgroup participants in RCTs to improve efficiency of subgroup-specific treatment effect estimation, demonstrated on Black and Asian subgroups in the LEADER trial.
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Nonparametric inference for sublevel-set probabilities of conditional average treatment effect functions
Develops Grenander-type and debiased machine learning estimators for the sublevel-set probability curve of the CATE function, shown to be non-pathwise differentiable, along with its piecewise linear approximation.
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Efficient Evaluation of LLM Performance with Statistical Guarantees
Factorized Active Querying (FAQ) provides up to 5 times more effective samples for LLM accuracy estimation by using Bayesian factor models and adaptive querying under a fixed budget with guaranteed coverage.
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Fast and principled equation discovery from chaos to climate
Bayesian-ARGOS is a hybrid frequentist-Bayesian method that discovers equations from limited noisy observations more efficiently than SINDy or bootstrap-ARGOS while adding uncertainty quantification.