1 citations · 3 across the 5 of their papers we have counts for
5 papers
A new statistical approach for joint modeling of longitudinal outcomes measured in electronic health records with clinically informative presence and observation processes
Jiacong Du, Xu Shi, Bhramar Mukherjee
Biobanks with genetics-linked electronic health records (EHR) have opened up opportunities to study associations between genetic, social, or environmental factors and longitudinal…
Doubly robust causal inference through penalized bias-reduced estimation: combining non-probability samples with designed surveys
Jiacong Du, Xu Shi, Donglin Zeng +1
Causal inference on the average treatment effect (ATE) using non-probability samples, such as electronic health records (EHR), faces challenges from sample selection bias and high-…
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…
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…
Variable selection with multiply-imputed datasets: choosing between stacked and grouped methods
Jiacong Du, Jonathan Boss, Peisong Han +5
Penalized regression methods, such as lasso and elastic net, are used in many biomedical applications when simultaneous regression coefficient estimation and variable selection is…