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07/24/2023
Adaptive debiased machine learning using data-driven model selection techniques
Debiased machine learning estimators for nonparametric inference of smoo...
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04/11/2023
Targeted Maximum Likelihood Based Estimation for Longitudinal Mediation Analysis
Causal mediation analysis with random interventions has become an area o...
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03/20/2023
Semiparametric inference for relative heterogeneous vaccine efficacy between strains in observational case-only studies
The aim of this manuscript is to explore semiparametric methods for infe...
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02/27/2023
Causal isotonic calibration for heterogeneous treatment effects
We propose causal isotonic calibration, a novel nonparametric method for...
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07/23/2021
Efficient nonparametric estimation of the covariate-adjusted threshold-response function, a support-restricted stochastic intervention
Identifying a biomarker or treatment-dose threshold that marks a specifi...
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01/15/2021