From the 1 of 4 linked papers with an AI index.
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
The paper discusses how to improve precision in randomized clinical trials by using covariate adjustment, comparing traditional fixed parametric methods with flexible data‑adaptive…
Automated, efficient and model-free inference for randomized clinical trials via data-driven covariate adjustment
Kelly Van Lancker, Iván DÃaz, Stijn Vansteelandt
In 2023, the U.S. Food and Drug Administration issued guidance for adjustment of covariates in randomized clinical trials, emphasizing its role in enhancing precision and power thr…
Robust evaluation of treatment effects in longitudinal studies with truncation by death or other intercurrent events
Georgi Baklicharov, Kelly Van Lancker, Stijn Vansteelandt
Intercurrent events, such as treatment switching, rescue medication, dropout, or truncation by death, frequently complicate intention-to-treat analyses in randomized clinical trial…
Robust Covariate Adjustment in Multi-Center Randomized Trials
Muluneh Alene, Stijn Vansteelandt, Kelly Van Lancker
Augmented inverse probability weighting and G-computation with canonical generalized linear models have become increasingly popular for estimating the average treatment effect (ATE…