1 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.ME2025★ 1 cited
Machine learning to optimize precision in the analysis of randomized trials: A journey in pre-specified, yet data-adaptive learning
Laura B. Balzer, Mark J. van der Laan, Maya L. Petersen
Covariate adjustment is an approach to improve the precision of trial analyses by adjusting for baseline variables that are prognostic of the primary endpoint. Motivated by the SEA…
stat.CO2023★ 1 cited
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-…