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02/09/2023
Surrogate-Assisted Federated Learning of high dimensional Electronic Health Record Data
Surrogate variables in electronic health records (EHR) play an important...
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01/05/2023
Improve Efficiency of Doubly Robust Estimator when Propensity Score is Misspecified
Doubly robust (DR) estimation is a crucial technique in causal inference...
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09/12/2022
Semi-supervised Triply Robust Inductive Transfer Learning
In this work, we propose a semi-supervised triply robust inductive trans...
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08/10/2022
Doubly Robust Augmented Model Accuracy Transfer Inference with High Dimensional Features
Due to label scarcity and covariate shift happening frequently in real-w...
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05/14/2022
Assessing Heterogeneous Risk of Type II Diabetes Associated with Statin Usage: Evidence from Electronic Health Record Data
There have been increased concerns that the use of statins, one of the m...
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03/12/2022
Maxway CRT: Improving the Robustness of Model-X Inference
The model-X conditional randomization test (CRT) proposed by Candès et a...
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10/19/2020
Efficient Estimation and Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling
In many contemporary applications, large amounts of unlabeled data are r...
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10/06/2020
Doubly Robust Covariate Shift Regression with Semi-nonparametric Nuisance Models
Importance weighting is naturally used to adjust for covariate shift. Ho...
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09/30/2020
Double/Debiased Machine Learning for Logistic Partially Linear Model
We propose double/debiased machine learning approaches to infer (at the ...
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08/28/2020
A Note on Debiased/Double Machine Learning Logistic Partially Linear Model
It is of particular interests in many application fields to draw doubly ...
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06/06/2020
Fast and Powerful Conditional Randomization Testing via Distillation
In relating a response variable Y to covariates (Z,X), a key question is...
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04/02/2020
Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints
Identifying informative predictors in a high dimensional regression mode...
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03/26/2020
Prior Adaptive Semi-supervised Learning with Application to EHR Phenotyping
Electronic Health Records (EHR) data, a rich source for biomedical resea...
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02/16/2019