76 citations · 163 across the 9 of their papers we have counts for
9 papers
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…
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…
A simulation framework of procurement operations in the container logistics industry
George Vassos, Klaus K. Holst, Pierre Pinson +1
This study proposes a simulation framework of procurement operations in the container logistics industry that can support the development of dynamic procurement strategies. The ide…
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…
A two-stage estimation procedure for non-linear structural equation models
Klaus Kähler Holst, Esben Budtz-Jørgensen
Applications of structural equation models (SEMs) are often restricted to linear associations between variables. Maximum likelihood (ML) estimation in non-linear models may be comp…
A latent variable model with mixed binary and continuous response variables
Klaus K. Holst, Esben Budtz-Jørgensen, Gitte Moos Knudsen
We propose a method for obtaining maximum likelihood estimates in a model with continuous and binary outcomes. Combinations of left and right censored observations are also natural…