44 citations · 125 across the 18 of their papers we have counts for
18 papers
An Approach to Nonparametric Inference on the Causal Dose Response Function
Aaron Hudson, Elvin H. Geng, Thomas A. Odeny +3
The causal dose response curve is commonly selected as the statistical parameter of interest in studies where the goal is to understand the effect of a continuous exposure on an ou…
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…
Adaptive Sequential Surveillance with Network and Temporal Dependence
Ivana Malenica, Jeremy R. Coyle, Mark J. van der Laan +1
Strategic test allocation plays a major role in the control of both emerging and existing pandemics (e.g., COVID-19, HIV). Widespread testing supports effective epidemic control by…
Efficient Targeted Learning of Heterogeneous Treatment Effects for Multiple Subgroups
Waverly Wei, Maya Petersen, Mark J van der Laan +3
In biomedical science, analyzing treatment effect heterogeneity plays an essential role in assisting personalized medicine. The main goals of analyzing treatment effect heterogenei…