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09/17/2023
OWL: A Large Language Model for IT Operations
With the rapid development of IT operations, it has become increasingly ...
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04/10/2023
A Framework for Understanding Selection Bias in Real-World Healthcare Data
Using administrative patient-care data such as Electronic Health Records...
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03/06/2023
The Effect of Substance Use on Brain Ageing: A New Causal Inference Framework for Incomplete and Massive Phenomic Data
Although substance use is known to be associated with cognitive decline ...
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02/13/2023
On the Doppler Squint Effect in OTFS Systems over Doubly-Dispersive Channels: Modeling and Evaluation
Extensive work has demonstrated the excellent performance of orthogonal ...
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01/27/2023
Chirp-based Hierarchical Beam Training for Extremely Large-Scale Massive MIMO
XL-MIMO promises to provide ultrahigh data rates in Terahertz (THz) spec...
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11/25/2022
Enhanced Tracking and Beamforming Codebook Design for Wideband Terahertz Massive MIMO System
True-time-delay (TTD) lines are recently applied inside Terahertz (THz) ...
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10/07/2022
Hierarchical Codebook-based Beam Training for Extremely Large-Scale Massive MIMO
Extremely large-scale multiple-input multiple-output (XL-MIMO) promises ...
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10/05/2022
Doubly Robust Proximal Synthetic Controls
To infer the treatment effect for a single treated unit using panel data...
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10/02/2022
Data-driven Automated Negative Control Estimation (DANCE): Search for, Validation of, and Causal Inference with Negative Controls
Negative control variables are increasingly used to adjust for unmeasure...
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08/02/2022
Doubly Robust Proximal Causal Inference under Confounded Outcome-Dependent Sampling
Unmeasured confounding and selection bias are often of concern in observ...
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04/02/2022
Collaborative causal inference with a distributed data-sharing management
Data sharing barriers are paramount challenges arising from multicenter ...
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03/23/2022
Double Negative Control Inference in Test-Negative Design Studies of Vaccine Effectiveness
The test-negative design (TND) has become a standard approach to evaluat...
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11/26/2021
Online Causal Inference with Application to Near Real-Time Post-Market Vaccine Safety Surveillance
Streaming data routinely generated by mobile phones, social networks, e-...
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10/03/2021
Data Integration in Causal Inference
Integrating data from multiple heterogeneous sources has become increasi...
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09/15/2021
Proximal Causal Inference for Complex Longitudinal Studies
A standard assumption for causal inference about the joint effects of ti...
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08/31/2021
Theory for identification and Inference with Synthetic Controls: A Proximal Causal Inference Framework
Synthetic control methods are commonly used to estimate the treatment ef...
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08/31/2021
Triple-Structured Compressive Sensing-based Channel Estimation for RIS-aided MU-MIMO Systems
Reconfigurable intelligent surface (RIS) has been recognized as a potent...
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11/17/2020
Semiparametric proximal causal inference
Skepticism about the assumption of no unmeasured confounding, also known...
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11/12/2020
Patient Recruitment Using Electronic Health Records Under Selection Bias: a Two-phase Sampling Framework
Electronic health records (EHRs) are increasingly recognized as a cost-e...
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09/23/2020
An Introduction to Proximal Causal Learning
A standard assumption for causal inference from observational data is th...
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09/11/2020
A Selective Review of Negative Control Methods in Epidemiology
Purpose of Review: Negative controls are a powerful tool to detect and a...
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10/12/2018
Spherical Regression under Mismatch Corruption with Application to Automated Knowledge Translation
Motivated by a series of applications in data integration, language tran...
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08/18/2018
A general approach to detect gene (G)-environment (E) additive interaction leveraging G-E independence in case-control studies
It is increasingly of interest in statistical genetics to test for the p...
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08/14/2018
Multiply Robust Causal Inference With Double Negative Control Adjustment for Unmeasured Confounding
Unmeasured confounding is a threat to causal inference in observational ...
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08/10/2018
Estimation of natural indirect effects robust to unmeasured confounding and mediator measurement error
The use of causal mediation analysis to evaluate the pathways by which a...
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04/04/2018
