5 citations · 9 across the 9 of their papers we have counts for
9 papers
Instability in Patient Clustering: A Multiverse Analysis of Unsupervised Clustering in the CENTER-TBI cohort
Sean R E A Bagcik, Aneeta Merlin Chacko, Ewout W Steyerberg +4
Understanding patient heterogeneity is key to improving prognostic modeling in traumatic brain injury (TBI). Unsupervised clustering is widely used to explore patterns in patient c…
Empirical Evidence That There Is No Such Thing As A Validated Prediction Model
Florian D. van Leeuwen, Ewout W. Steyerberg, David van Klaveren +3
Background: External validations are essential to assess clinical prediction models (CPMs) before deployment. Apart from model misspecification, differences in patient population a…
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…
G-formula for causal inference via multiple imputation
Jonathan W. Bartlett, Camila Olarte Parra, Emily Granger +3
G-formula is a popular approach for estimating treatment or exposure effects from longitudinal data that are subject to time-varying confounding. G-formula estimation is typically…
Benchmarking survival outcomes: A funnel plot for survival data
Hein Putter, Dirk-Jan Eikema, Liesbeth C. de Wreede +5
Benchmarking is commonly used in many healthcare settings to monitor clinical performance, with the aim of increasing cost-effectiveness and safe care of patients. The funnel plot…
Simultaneous Confidence Intervals for Ranks With Application to Ranking Institutions
Diaa Al Mohamad, Jelle J. Goeman, Erik W. van Zwet
When a ranking of institutions such as medical centers or universities is based on an indicator provided with a standard error, confidence intervals should be calculated to assess…
A default prior for regression coefficients
Erik van Zwet
When the sample size is not too small, M-estimators of regression coefficients are approximately normal and unbiased. This leads to the familiar frequentist inference in terms of n…
An improvement of Tukey's HSD with application to ranking institutions
Diaa Al Mohamad, Jelle J. Goeman, Erik W. van Zwet
When a ranking of institutions such as medical centers or universities is based on an indicator provided with a standard error, confidence intervals should be calculated to assess…
Partial exchangeability of the prior via shuffling
Erik van Zwet
In inference problems involving a multi-dimensional parameter , it is often natural to consider decision rules that have a risk which is invariant under some group of permut…