From the 1 of 6 linked papers with an AI index.
6 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…
One-step Outcome Imputation: An Alternative to Multiple Imputation
Andreas Nordland, Klaus K. Holst, David Redek +2
Missing outcomes in randomized controlled trials are often handled by multiple imputation (MI). Rubin's rules are routinely used to estimate standard errors but can fail to provide…
A framework for joint assessment of a terminal event and a score existing only in the absence of the terminal event
Klaus Kähler Holst, Andreas Nordland, Julie Funch Furberg +2
Analysis of data from randomized controlled trials in vulnerable populations requires special attention when assessing treatment effect by a score measuring, e.g., disease stage or…
A non-parametric approach for estimating the correlation between log-rank test statistics with applications to a conjunctive power calculation
Anne Lyngholm Soerensen, Paul Blanche, Henrik Ravn +1
We present a method for estimating the correlation between log-rank test statistics evaluating separate null hypotheses for two time-to-event endpoints. The correlation is estimate…
A general approach to construct powerful tests for intersections of one-sided null-hypotheses based on influence functions
Christian Bressen Pipper, Andreas Nordland, Klaus Kähler Holst
Testing intersections of null-hypotheses is an integral part of closed testing procedures for assessing multiple null-hypotheses under family-wise type 1 error control. Popular int…
Causal interpretation of the sibling comparison and its relation to the cross-over design
Simon Bang Kristensen, Christian Bressen Pipper, Jacob von Bornemann Hjelmborg
The intuitive motivation for employing a sibling comparison design is to adjust for confounding that is constant within families. Such confounding can be caused by variables that o…