10 citations · 11 across the 4 of their papers we have counts for
4 papers
A Causal Roadmap for Hybrid Randomized and Real-World Data Designs: Case Study of Semaglutide and Cardiovascular Outcomes
Lauren E Dang, Edwin Fong, Jens Magelund Tarp +6
Introduction: Increasing interest in real-world evidence has fueled the development of study designs incorporating real-world data (RWD). Using the Causal Roadmap, we specify three…
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…
Targeted Maximum Likelihood Based Estimation for Longitudinal Mediation Analysis
Zeyi Wang, Lars van der Laan, Maya Petersen +3
Causal mediation analysis with random interventions has become an area of significant interest for understanding time-varying effects with longitudinal and survival outcomes. To ta…
Experiment-selector cross-validated targeted maximum likelihood estimator for hybrid RCT-external data studies
Lauren Eyler Dang, Jens Magelund Tarp, Trine Julie Abrahamsen +4
Augmenting a randomized controlled trial (RCT) with external data may increase power at the risk of introducing bias. To select and analyze the experiment (RCT alone or combined wi…