4 papers · 1 filter
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 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…
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…
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…