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stat.ME2026
Assessing covariate-adjusted risk differences in small-sample clinical trials
Martin Schnuerch, Alex Ocampo, Klaus Kähler Holst +1
Binary endpoints are common in clinical trials and conditional odds ratios have traditionally been used to assess treatment effects. However, the interpretation of odds ratios is d…
stat.ME2026
Restricted mean time lost for survival and competing risks data using mets in R
Thomas Harder Scheike, Klaus Kähler Holst
This paper introduces software implemented in the mets R-package for calculating non-parametric and regression estimates of Restricted Mean Survival Time (RMST) and Restricted Mean…
stat.ME2024
Policy Learning with the polle package
Andreas Nordland, Klaus K. Holst
The R package polle is a unifying framework for learning and evaluating finite stage policies based on observational data. The package implements a collection of existing and novel…