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09/14/2023
Addressing selection bias in cluster randomized experiments via weighting
In cluster randomized experiments, units are often recruited after the r...
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08/14/2023
Maintaining the validity of inference from linear mixed models in stepped-wedge cluster randomized trials under misspecified random-effects structures
Linear mixed models are commonly used in analyzing stepped-wedge cluster...
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06/20/2023
Non-Integer-Oversampling Digital Signal Processing for Coherent Passive Optical Networks
Beyond 100G passive optical networks (PONs) will be required to meet the...
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06/20/2023
Model-assisted analysis of covariance estimators for stepped wedge cluster randomized experiments
Stepped wedge cluster randomized experiments represent a class of unidir...
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05/22/2023
Multiply robust estimation for causal survival analysis with treatment noncompliance
Comparative effectiveness research with randomized trials or observation...
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04/20/2023
Identification and multiply robust estimation in causal mediation analysis with treatment noncompliance
In experimental and observational studies, there is often interest in un...
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04/10/2023
Causal mediation analysis with a failure time outcome in the presence of exposure measurement error
Causal mediation analysis is widely used in health science research to e...
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04/05/2023
PStrata: An R Package for Principal Stratification
Post-treatment confounding is a common problem in causal inference, incl...
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04/01/2023
Using Overlap Weights to Address Extreme Propensity Scores in Estimating Restricted Mean Counterfactual Survival Times
While the inverse probability of treatment weighting (IPTW) is a commonl...
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03/24/2023
Demystifying estimands in cluster-randomised trials
Estimands can help clarify the interpretation of treatment effects and e...
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02/17/2023
Maximin optimal cluster randomized designs for assessing treatment effect heterogeneity
Cluster randomized trials (CRTs) are studies where treatment is randomiz...
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02/17/2023
A Probabilistic Generative Model for Tracking Multi-Knowledge Concept Mastery Probability
Knowledge tracing aims to track students' knowledge status over time to ...
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01/18/2023
Principal Stratification with Time-to-Event Outcomes
Post-randomization events, also known as intercurrent events, such as tr...
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11/16/2022
Person Text-Image Matching via Text-Feature Interpretability Embedding and External Attack Node Implantation
Person text-image matching, also known as text based person search, aims...
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10/25/2022
A new Stack Autoencoder: Neighbouring Sample Envelope Embedded Stack Autoencoder Ensemble Model
Stack autoencoder (SAE), as a representative deep network, has unique an...
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10/13/2022
Model-robust and efficient inference for cluster-randomized experiments
Cluster-randomized experiments are increasingly used to evaluate interve...
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10/08/2022
Doubly robust estimation and sensitivity analysis for marginal structural quantile models
The marginal structure quantile model (MSQM) is a useful tool to charact...
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09/08/2022
Using propensity scores for racial disparities analysis
Propensity score plays a central role in causal inference, but its use i...
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09/02/2022
Assessing treatment effect heterogeneity in the presence of missing effect modifier data in cluster-randomized trials
Understanding whether and how treatment effects vary across individuals ...
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06/25/2022
Envelope imbalanced ensemble model with deep sample learning and local-global structure consistency
The class imbalance problem is important and challenging. Ensemble appro...
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06/23/2022
Power analyses for stepped wedge designs with multivariate continuous outcomes
Multivariate outcomes are not uncommon in pragmatic cluster randomized t...
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05/28/2022
equations of multi-period cluster randomized trials with application to stepped wedge designs
Multi-period cluster randomized trials (CRTs) are increasingly used for ...
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05/11/2022
Leveraging baseline covariates to analyze small cluster-randomized trials with a rare binary outcome
Cluster-randomized trials (CRTs) involve randomizing entire groups of pa...
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04/13/2022
A Bayesian Machine Learning Approach for Estimating Heterogeneous Survivor Causal Effects: Applications to a Critical Care Trial
Motivated by the Acute Respiratory Distress Syndrome Network (ARDSNetwor...
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03/31/2022
CADG: A Model Based on Cross Attention for Domain Generalization
In Domain Generalization (DG) tasks, models are trained by using only tr...
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03/04/2022
Improving sandwich variance estimation for marginal Cox analysis of cluster randomized trials
Cluster randomized trials (CRTs) frequently recruit a small number of cl...
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02/14/2022
Bayesian semi-parametric inference for clustered recurrent events with zero-inflation and a terminal event/4163305
Recurrent event data are common in clinical studies when participants ar...
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12/03/2021
Power analysis for cluster randomized trials with continuous co-primary endpoints
Pragmatic trials evaluating health care interventions often adopt cluste...
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12/01/2021
On the robustness and precision of mixed-model analysis of covariance in cluster-randomized trials
In the analyses of cluster-randomized trials, a standard approach for co...
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11/17/2021
Subject Enveloped Deep Sample Fuzzy Ensemble Learning Algorithm of Parkinson's Speech Data
Parkinson disease (PD)'s speech recognition is an effective way for its ...
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11/02/2021
Envelope Imbalance Learning Algorithm based on Multilayer Fuzzy C-means Clustering and Minimum Interlayer discrepancy
Imbalanced learning is important and challenging since the problem of th...
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09/27/2021
Joint marginal structural models to estimate the causal effects of multiple longitudinal treatments in continuous time with application to COVID-19
To draw real-world evidence about the comparative effectiveness of compl...
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09/13/2021
Competing Risks Regression for Clustered Data via the Marginal Additive Subdistribution Hazard Model
A population-averaged additive subdistribution hazard model is proposed ...
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08/25/2021
Power considerations for generalized estimating equations analyses of four-level cluster randomized trials
In this article, we develop methods for sample size and power calculatio...
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08/19/2021
Estimating the natural indirect effect and the mediation proportion via the product method
The natural indirect effect (NIE) and mediation proportion (MP) are two ...
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08/10/2021
Addressing Extreme Propensity Scores in Estimating Counterfactual Survival Functions via the Overlap Weights
The inverse probability weighting approach is popular for evaluating tre...
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07/16/2021
Clarifying Selection Bias in Cluster Randomized Trials: Estimands and Estimation
In cluster randomized trials, patients are recruited after clusters are ...
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07/09/2021
Hölder Bounds for Sensitivity Analysis in Causal Reasoning
We examine interval estimation of the effect of a treatment T on an outc...
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06/20/2021
Constrained randomization and statistical inference for multi-arm parallel cluster randomized controlled trials
Cluster randomized controlled trials (cRCTs) are designed to evaluate in...
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06/01/2021
Retrospective causal inference via matrix completion, with an evaluation of the effect of European integration on cross-border employment
We propose a method of retrospective counterfactual imputation in panel ...
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05/30/2021
A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEG
Driver drowsiness is one of main factors leading to road fatalities and ...
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04/16/2021
Causal Mediation Analysis for Longitudinal Mediators and Survival Outcomes
Causal mediation analysis studies how the treatment effect of an exposur...
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03/14/2021
Are deep learning models superior for missing data imputation in large surveys? Evidence from an empirical comparison
Multiple imputation (MI) is the state-of-the-art approach for dealing wi...
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03/11/2021
Integrated Age Estimation Mechanism
Machine-learning-based age estimation has received lots of attention. Tr...
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03/08/2021
Generalizing trial evidence to target populations in non-nested designs: Applications to AIDS clinical trials
Comparative effectiveness evidence from randomized trials may not be dir...
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02/28/2021
Propensity Score Weighting Analysis of Survival Outcomes Using Pseudo-observations
Survival outcomes are common in comparative effectiveness studies and re...
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02/03/2021
Covariate adjustment in subgroup analyses of randomized clinical trials: A propensity score approach
Background: Subgroup analyses are frequently conducted in randomized cli...
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01/05/2021
QoE-driven Secure Video Transmission in Cloud-edge Collaborative Networks
Video transmission over the backhaul link in cloudedge collaborative net...
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01/02/2021
Marginal modeling of cluster-period means and intraclass correlations in stepped wedge designs with binary outcomes
Stepped wedge cluster randomized trials (SW-CRTs) with binary outcomes a...
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11/11/2020