9 citations · 26 across the 13 of their papers we have counts for
8 papers · 1 filter
Tree-based Subgroup Discovery In Electronic Health Records: Heterogeneity of Treatment Effects for DTG-containing Therapies
Jiabei Yang, Ann W. Mwangi, Rami Kantor +5
The rich longitudinal individual level data available from electronic health records (EHRs) can be used to examine treatment effect heterogeneity. However, estimating treatment eff…
A flexible approach for causal inference with multiple treatments and clustered survival outcomes
Liangyuan Hu, Jiayi Ji, Ronald D. Ennis +1
When drawing causal inferences about the effects of multiple treatments on clustered survival outcomes using observational data, we need to address implications of the multilevel d…
Inference for BART with Multinomial Outcomes
Yizhen Xu, Joseph W. Hogan, Michael J. Daniels +2
The multinomial probit Bayesian additive regression trees (MPBART) framework was proposed by Kindo et al. (KD), approximating the latent utilities in the multinomial probit (MNP) m…
Informed Pooled Testing with Quantitative Assays
Tao Liu, Joseph W Hogan, Wanning Su +3
Pooled testing is widely used for screening for viral or bacterial infections with low prevalence when individual testing is not cost-efficient. Pooled testing with qualitative ass…
Optimal Allocation of Gold Standard Testing under Constrained Availability: Application to Assessment of HIV Treatment Failure
Tao Liu, Joseph W. Hogan, Lisa Wang +2
The World Health Organization (WHO) guidelines for monitoring the effectiveness of HIV treatment in resource-limited settings (RLS) are mostly based on clinical and immunological m…
Framework for the Treatment And Reporting of Missing data in Observational Studies: The TARMOS framework
Katherine J Lee, Kate Tilling, Rosie P Cornish +5
Missing data are ubiquitous in medical research. Although there is increasing guidance on how to handle missing data, practice is changing slowly and misapprehensions abound, parti…