research
∙
05/12/2023
A Causal Roadmap for Hybrid Randomized and Real-World Data Designs: Case Study of Semaglutide and Cardiovascular Outcomes
Introduction: Increasing interest in real-world evidence has fueled the ...
share
research
∙
04/11/2023
Targeted Maximum Likelihood Based Estimation for Longitudinal Mediation Analysis
Causal mediation analysis with random interventions has become an area o...
research
∙
11/26/2022
Efficient Targeted Learning of Heterogeneous Treatment Effects for Multiple Subgroups
In biomedical science, analyzing treatment effect heterogeneity plays an...
research
∙
10/11/2022
A Cross-Validated Targeted Maximum Likelihood Estimator for Data-Adaptive Experiment Selection Applied to the Augmentation of RCT Control Arms with External Data
Augmenting the control arm of a randomized controlled trial (RCT) with e...
research
∙
01/29/2021
Performance and Application of Estimators for the Value of an Optimal Dynamic Treatment Rule
Given an (optimal) dynamic treatment rule, it may be of interest to eval...
research
∙
01/29/2021
The Optimal Dynamic Treatment Rule SuperLearner: Considerations, Performance, and Application
The optimal dynamic treatment rule (ODTR) framework offers an approach f...
research
∙
01/18/2021
Sequential causal inference in a single world of connected units
We consider adaptive designs for a trial involving N individuals that we...
research
∙
08/24/2019
Semi-Supervised Record Linkage for Construction of Large-Scale Sociocentric Networks in Resource-limited Settings: An application to the SEARCH Study in Rural Uganda and Kenya
This paper presents a novel semi-supervised algorithmic approach to crea...
research
∙
10/06/2018