2 citations · 2 across the 3 of their papers we have counts for
4 papers
Towards Best Practices for Covariate Adjustment in Regulatory Trials: From Fixed to Data-Adaptive Approaches
Laura B. Balzer, Lei Nie, Issa J. Dahabreh +15
While randomization justifies the use of unadjusted effect estimators in randomized trials, there is growing interest in covariate adjustment to improve precision. Adjusting for ba…
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…
Applying the causal roadmap to longitudinal national Danish registry data: a case study of second-line diabetes medication and dementia
Nerissa Nance, Andrew Mertens, Thomas Gerds +7
The causal roadmap is a formal framework for causal and statistical inference that supports clear specification of the causal question, interpretable and transparent statement of r…
Targeted Learning on Variable Importance Measure for Heterogeneous Treatment Effect
Haodong Li, Alan E Hubbard, Oliver J Hines +3
Quantifying the heterogeneity of treatment effect is important for understanding how a commercial product or medical treatment affects different population subgroups. While much of…