research
∙
06/28/2023
Mediation with External Summary Statistic Information (MESSI)
Environmental health studies are increasingly measuring endogenous omics...
share
research
∙
06/26/2023
Exploring the big data paradox for various estimands using vaccination data from the global COVID-19 Trends and Impact Survey (CTIS)
Selection bias poses a challenge to statistical inference validity in no...
research
∙
04/10/2023
A Framework for Understanding Selection Bias in Real-World Healthcare Data
Using administrative patient-care data such as Electronic Health Records...
research
∙
07/30/2022
Outcome Adaptive Propensity Score Methods for Handling Censoring and High-Dimensionality: Application to Insurance Claims
Propensity scores are commonly used to reduce the confounding bias in no...
research
∙
05/17/2022
An Inverse Probability Weighted Regression Method that Accounts for Right-censoring for Causal Inference with Multiple Treatments and a Binary Outcome
Comparative effectiveness research often involves evaluating the differe...
research
∙
03/24/2022
Methods for Large-scale Single Mediator Hypothesis Testing: Possible Choices and Comparisons
Mediation hypothesis testing for a large number of mediators is challeng...
research
∙
06/12/2021
Regression inference for multiple populations by integrating summary-level data using stacked imputations
There is a growing need for flexible general frameworks that integrate i...
research
∙
02/21/2021
Group Inverse-Gamma Gamma Shrinkage for Sparse Regression with Block-Correlated Predictors
Heavy-tailed continuous shrinkage priors, such as the horseshoe prior, a...
research
∙
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...
research
∙
10/20/2020
An ensemble meta-prediction framework to integrate multiple external models into a current study
Disease risk prediction models are used throughout clinical biomedicine....
research
∙
09/23/2020
Bayesian Hierarchical Models for High-Dimensional Mediation Analysis with Coordinated Selection of Correlated Mediators
We consider Bayesian high-dimensional mediation analysis to identify amo...
research
∙
08/14/2020
Bayesian Sparse Mediation Analysis with Targeted Penalization of Natural Indirect Effects
Causal mediation analysis aims to characterize an exposure's effect on a...
research
∙
03/28/2020
A Hierarchical Integrative Group LASSO (HiGLASSO) Framework for Analyzing Environmental Mixtures
Environmental health studies are increasingly measuring multiple polluta...
research
∙
03/16/2020
