85 citations · 158 across the 15 of their papers we have counts for
15 papers
Mediation with External Summary Statistic Information (MESSI)
Jonathan Boss, Wei Hao, Amber Cathey +5
Environmental health studies are increasingly measuring endogenous omics data () to study intermediary biological pathways by which an exogenous exposure ($\boldsym…
Outcome Adaptive Propensity Score Methods for Handling Censoring and High-Dimensionality: Application to Insurance Claims
Youfei Yu, Jiacong Du, Min Zhang +3
Propensity scores are commonly used to reduce the confounding bias in non-randomized observational studies for estimating the average treatment effect. An important assumption unde…
An Inverse Probability Weighted Regression Method that Accounts for Right-censoring for Causal Inference with Multiple Treatments and a Binary Outcome
Youfei Yu, Min Zhang, Bhramar Mukherjee
Comparative effectiveness research often involves evaluating the differences in the risks of an event of interest between two or more treatments using observational data. Often, th…
Methods for Large-scale Single Mediator Hypothesis Testing: Possible Choices and Comparisons
Jiacong Du, Xiang Zhou, Wei Hao +3
Mediation hypothesis testing for a large number of mediators is challenging due to the composite structure of the null hypothesis, H0:alpha*beta=0 (alpha: effect of the exposure on…
A synthetic data integration framework to leverage external summary-level information from heterogeneous populations
Tian Gu, Jeremy M. G. Taylor, Bhramar Mukherjee
There is a growing need for flexible general frameworks that integrate individual-level data with external summary information for improved statistical inference. External informat…
Group Inverse-Gamma Gamma Shrinkage for Sparse Regression with Block-Correlated Predictors
Jonathan Boss, Jyotishka Datta, Xin Wang +3
Heavy-tailed continuous shrinkage priors, such as the horseshoe prior, are widely used for sparse estimation problems. However, there is limited work extending these priors to pred…