3 papers
stat.ME2026
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…
stat.ME2025
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…
stat.ME2025
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…