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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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02/27/2023
Causal isotonic calibration for heterogeneous treatment effects
We propose causal isotonic calibration, a novel nonparametric method for...
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11/06/2022
A framework for leveraging machine learning tools to estimate personalized survival curves
The conditional survival function of a time-to-event outcome subject to ...
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10/31/2022
Can the potential benefit of individualizing treatment be assessed using trial summary statistics alone?
Individualizing treatment assignment can improve outcomes for diseases w...
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03/03/2022
A general adaptive framework for multivariate point null testing
As a common step in refining their scientific inquiry, investigators are...
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01/18/2022
Individualized treatment rules under stochastic treatment cost constraints
Estimation and evaluation of individualized treatment rules have been st...
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07/12/2021
Assessment of Immune Correlates of Protection via Controlled Vaccine Efficacy and Controlled Risk
Immune correlates of protection (CoPs) are immunologic biomarkers accept...
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06/11/2021
Inference for treatment-specific survival curves using machine learning
In the absence of data from a randomized trial, researchers often aim to...
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05/14/2021
Inference on function-valued parameters using a restricted score test
It is often of interest to make inference on an unknown function that is...
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04/07/2020
A unified approach for inference on algorithm-agnostic variable importance
In many applications, it is of interest to assess the relative contribut...
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03/04/2020
Universal sieve-based strategies for efficient estimation using machine learning tools
Suppose that we wish to estimate a finite-dimensional summary of one or ...
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10/04/2019
Combining Biomarkers by Maximizing the True Positive Rate for a Fixed False Positive Rate
Biomarkers abound in many areas of clinical research, and often investig...
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10/21/2018
Correcting an estimator of a multivariate monotone function with isotonic regression
In many problems, a sensible estimator of a possibly multivariate monoto...
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10/08/2018
Causal isotonic regression
In observational studies, potential confounders may distort the causal r...
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06/05/2018
A unified study of nonparametric inference for monotone functions
The problem of nonparametric inference on a monotone function has been e...
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10/14/2015