60 citations · 67 across the 10 of their papers we have counts for
10 papers
Temporal dependence in exposure and hazard-based infectious disease interventions
Hiroyasu Ando, A. James O'Malley, Akihiro Nishi
In randomized controlled trials (RCTs) of infectious disease interventions, it is well recognized that unmeasured individual heterogeneity at baseline can induce selection bias ove…
Pseudo-clustering for combining data sets with multiple hierarchies
Seho Park, A James OMalley
Multi-level modeling is an important approach for analyzing complex survey data using multi-stage sampling. However, estimation of multi-level models can be challenging when we com…
Comparing weighting and imputation methods for enhancing statistical inference of health surveys given administrative claims data
Seho Park, Brianna L Hardy, A James OMalley
National surveys of the healthcare system in the United States were conducted to characterize the structure of healthcare system and investigate the impact of evidence-based innova…
A Novel Causal Mediation Analysis Approach for Zero-Inflated Mediators
Meilin Jiang, Seonjoo Lee, James O'Malley +2
Mediation analyses play important roles in making causal inference in biomedical research to examine causal pathways that may be mediated by one or more intermediate variables (i.e…
GRANDPA: GeneRAtive Network sampling using Degree and Property Augmentation applied to the analysis of partially confidential healthcare networks
Carly A. Bobak, Yifan Zhao, Joshua J. Levy +1
Protecting medical privacy can create obstacles in the analysis and distribution of healthcare graphs and statistical inferences accompanying them. We pose a graph simulation model…
Estimating populational-average hazard ratios in the presence of unmeasured confounding
Pablo Martinez-Camblor, Todd A. MacKenzie, A. James O'Malley
The Cox regression model and its associated hazard ratio (HR) are frequently used for summarizing the effect of treatments on time to event outcomes. However, the HR's interpretati…