10 citations · 15 across the 5 of their papers we have counts for
5 papers
Generalizing and transporting causal inferences from randomized trials in the presence of trial engagement effects
Lawson Ung, Tyler J. VanderWeele, Issa J. Dahabreh
Trial engagement effects are effects of trial participation on the outcome that are not mediated by treatment assignment. Most work on extending (generalizing or transporting) caus…
Efficient estimation of subgroup treatment effects using multi-source data
Guanbo Wang, Alexander Levis, Jon Steingrimsson +1
Investigators often use multi-source data (e.g., multi-center trials, meta-analyses of randomized trials, pooled analyses of observational cohorts) to learn about the effects of in…
Generalizability analyses with a partially nested trial design: the Necrotizing Enterocolitis Surgery Trial
Sarah E. Robertson, Matthew A. Rysavy, Martin L. Blakely +2
We discuss generalizability analyses under a partially nested trial design, where part of the trial is nested within a cohort of trial-eligible individuals, while the rest of the t…
A Causal Roadmap for Generating High-Quality Real-World Evidence
Lauren E Dang, Susan Gruber, Hana Lee +23
Increasing emphasis on the use of real-world evidence (RWE) to support clinical policy and regulatory decision-making has led to a proliferation of guidance, advice, and frameworks…
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…