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06/16/2023
A General Form of Covariate Adjustment in Randomized Clinical Trials
In randomized clinical trials, adjusting for baseline covariates has bee...
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04/08/2023
Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks
As machine learning has been deployed ubiquitously across applications i...
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02/21/2023
Robust Variance Estimation for Covariate-Adjusted Unconditional Treatment Effect in Randomized Clinical Trials with Binary Outcomes
To improve precision of estimation and power of testing hypothesis for a...
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02/02/2023
Adjusting for Incomplete Baseline Covariates in Randomized Controlled Trials: A Cross-World Imputation Framework
In randomized controlled trials, adjusting for baseline covariates is of...
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02/02/2023
Behavioral Carry-Over Effect and Power Consideration in Crossover Trials
A crossover trial is an efficient trial design when there is no carry-ov...
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11/29/2022
Association between author metadata and acceptance: A feature-rich, matched observational study of a corpus of ICLR submissions between 2017-2022
Many recent studies have probed status bias in the peer-review process o...
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10/09/2022
A unified analysis of regression adjustment in randomized experiments
Regression adjustment is broadly applied in randomized trials under the ...
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09/21/2022
Structural mean models for instrumented difference-in-differences
In the standard difference-in-differences research design, the parallel ...
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06/21/2022
Nonparametric identification of causal effects in clustered observational studies with differential selection
The clustered observational study (COS) design is the observational stud...
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06/06/2022
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data
Algorithmic fairness plays an important role in machine learning and imp...
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03/14/2022
A Focusing Framework for Testing Bi-Directional Causal Effects with GWAS Summary Data
Mendelian randomization (MR) is a powerful method that uses genetic vari...
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03/08/2022
Testing for Treatment Effect Twice Using Internal and External Controls in Clinical Trials
Leveraging external controls – relevant individual patient data under co...
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01/28/2022
Covariate-Adjusted Log-Rank Test: Guaranteed Efficiency Gain and Universal Applicability
Nonparametric covariate adjustment is considered for log-rank type tests...
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07/13/2021
GENIUS-MAWII: For Robust Mendelian Randomization with Many Weak Invalid Instruments
Mendelian randomization (MR) has become a popular approach to study caus...
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06/08/2021
FastSeq: Make Sequence Generation Faster
Transformer-based models have made tremendous impacts in natural languag...
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05/03/2021
Combining Broad and Narrow Case Definitions in Matched Case-Control Studies
In a matched case-control study, cases are compared to noncases, who are...
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11/12/2020
Social Distancing and COVID-19: Randomization Inference for a Structured Dose-Response Relationship
Social distancing is widely acknowledged as an effective public health p...
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11/06/2020
Controlling for Unmeasured Confounding in the Presence of Time: Instrumental Variable for Trend
Unmeasured confounding is a key threat to reliable causal inference base...
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09/30/2020
On Mendelian Randomization Mixed-Scale Treatment Effect Robust Identification (MR MiSTERI) and Estimation for Causal Inference
Standard Mendelian randomization analysis can produce biased results if ...
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09/24/2020
Principles for Covariate Adjustment in Analyzing Randomized Clinical Trials
In randomized clinical trials, adjustments for baseline covariates at bo...
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07/19/2020
Inference on Average Treatment Effect under Minimization and Other Covariate-Adaptive Randomization Methods
Covariate-adaptive randomization schemes such as the minimization and st...
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07/14/2020
Bridging preference-based instrumental variable studies and cluster-randomized encouragement experiments: study design, noncompliance, and average cluster effect ratio
Instrumental variable methods are widely used in medical and social scie...
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06/03/2020
A Negative Correlation Strategy for Bracketing in Difference-in-Differences with Application to the Effect of Voter Identification Laws on Voter Turnout
The method of difference-in-differences (DID) is widely used to study th...
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11/22/2019
Debiased Inverse-Variance Weighted Estimator in Two-Sample Summary-Data Mendelian Randomization
Mendelian randomization (MR) has become a popular approach to study the ...
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11/17/2018