75 citations · 103 across the 6 of their papers we have counts for
7 papers
Non-parametric assessment of the calibration of individualized treatment effects
Mohsen Sadatsafavi, Jeroen Hoogland, Thomas P. A. Debray +1
An important aspect of the performance of algorithms that predict individualized treatment effects (ITE) is moderate calibration, i.e., the average treatment effect among individua…
Risk-based decision making: estimands for sequential prediction under interventions
Kim Luijken, Paweł Morzywołek, Wouter van Amsterdam +14
Prediction models are used amongst others to inform medical decisions on interventions. Typically, individuals with high risks of adverse outcomes are advised to undergo an interve…
Linked shrinkage to improve estimation of interaction effects in regression models
Mark A. van de Wiel, Matteo Amestoy, Jeroen Hoogland
We address a classical problem in statistics: adding two-way interaction terms to a regression model. As the covariate dimension increases quadratically, we develop an estimator th…
Think before you shrink: Alternatives to default shrinkage methods can improve prediction accuracy, calibration and coverage
Mark A. van de Wiel, Gwenaël G. R. Leday, Jeroen Hoogland +3
While shrinkage is essential in high-dimensional settings, its use for low-dimensional regression-based prediction has been debated. It reduces variance, often leading to improved…
Quality control, data cleaning, imputation
Dawei Liu, Hanne I. Oberman, Johanna Muñoz +2
This chapter addresses important steps during the quality assurance and control of RWD, with particular emphasis on the identification and handling of missing values. A gentle intr…
A tutorial on individualized treatment effect prediction from randomized trials with a binary endpoint
J Hoogland, J IntHout, M Belias +6
Randomized trials typically estimate average relative treatment effects, but decisions on the benefit of a treatment are possibly better informed by more individualized predictions…
Real-time imputation of missing predictor values in clinical practice
Steven WJ Nijman, Jeroen Hoogland, T Katrien J Groenhof +6
Use of prediction models is widely recommended by clinical guidelines, but usually requires complete information on all predictors that is not always available in daily practice. W…