19 citations · 48 across the 17 of their papers we have counts for
17 papers
Improving the Efficiency of Subgroup Analysis in Randomized Controlled Trials with TMLE
Sky Qiu, Nerissa Nance, Rachael Phillips +3
Subgroup analyses within randomized controlled trials are often underpowered due to limited sample sizes. We address this challenge by leveraging trial participants outside the sub…
Estimation of treatment effects in presence of differential use of post-randomization concomitant medication with time-to-event outcomes
Helene C. W. Rytgaard, Edwin Fong, Jens M. Tarp +3
In placebo-controlled randomized trials, the post-randomization use of concomitant medications may be higher in the placebo arm than in the treatment arm. This may dilute the full…
Considerations for the Integration of Randomized Controlled Trials and Real-World Data
Sky Qiu, Charles Barr, Lauren Dang +18
As clinical decision-making increasingly moves toward individualized and context-specific treatment recommendations, reliance on any single evidence source, randomized or observati…
Frugal, Flexible, Faithful: Causal Data Simulation via Frengression
Linying Yang, Jens Magelund Tarp, Robin J. Evans +1
Machine learning has revitalized causal inference by combining flexible models and principled estimators, yet robust benchmarking and evaluation remain challenging with real-world…
Exact Simulation of Longitudinal Data from Marginal Structural Models
Xi Lin, Daniel de Vassimon Manela, Chase Mathis +2
Simulating longitudinal data from specified marginal structural models is a crucial but challenging task for evaluating causal inference methods and informing study design. While d…
An Estimator-Robust Design for Augmenting Randomized Controlled Trials with External Real-World Data
Sky Qiu, Jens Tarp, Andrew Mertens +1
Augmenting randomized controlled trials (RCTs) with external real-world data (RWD) has the potential to improve the finite sample efficiency of treatment effect estimators. We desc…
Data fusion for efficiency gain in ATE estimation: A practical review with simulations
Xi Lin, Jens Magelund Tarp, Robin J. Evans
The integration of real-world data (RWD) and randomized controlled trials (RCT) is increasingly important for advancing causal inference in scientific research. This combination ho…
Causal-ICM: A Data Fusion Framework For Heterogeneous Treatment Effect Estimation With Multi-Task Gaussian Processes
Evangelos Dimitriou, Edwin Fong, Jens Magelund Tarp +2
Bridging the gap between internal and external validity is crucial for heterogeneous treatment effect estimation. Randomised controlled trials (RCTs), favoured for their internal v…
Adaptive-TMLE for the Average Treatment Effect based on Randomized Controlled Trial Augmented with Real-World Data
Mark van der Laan, Sky Qiu, Jens Magelund Tarp +1
We consider the problem of estimating the average treatment effect (ATE) when both randomized control trial (RCT) data and external real-world data (RWD) are available. We decompos…
concrete: Targeted Estimation of Survival and Competing Risks in Continuous Time
David Chen, Helene C. W. Rytgaard, Edwin C. H. Fong +4
This article introduces the R package concrete, which implements a recently developed targeted maximum likelihood estimator (TMLE) for the cause-specific absolute risks of time-to-…
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…
Combining experimental and observational data through a power likelihood
Xi Lin, Jens Magelund Tarp, Robin J. Evans
Randomized controlled trials are the gold standard for causal inference and play a pivotal role in modern evidence-based medicine. However, the sample sizes they use are often too…
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…
Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data
Ali Mohebbi, Alexander R. Johansen, Nicklas Hansen +5
Continuous Glucose Monitoring (CGM) has enabled important opportunities for diabetes management. This study explores the use of CGM data as input for digital decision support tools…
Rotation-limited growth of three dimensional body-centered cubic crystals
Jens M. Tarp, Joachim Mathiesen
According to classical grain growth laws, grain growth is driven by the minimization of surface energy and will continue until a single grain prevails. These laws do not take into…
Intermittent dislocation density fluctuations in crystal plasticity from a phase-field crystal model
Jens M. Tarp, Luiza Angheluta, Joachim Mathiesen +1
Plastic deformation mediated by collective dislocation dynamics is investigated in the two-dimensional phase-field crystal model of sheared single crystals. We find that intermitte…
Rotation induced grain growth and stagnation in phase field crystal models
Mathias Bjerre, Jens Magelund Tarp, Luiza Angheluta +1
We consider the grain growth and stagnation in polycrystalline microstructures. From the phase field crystal modelling of the coarsening dynamics, we identify a transition from a g…