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On the variability of regression shrinkage methods for clinical prediction models: simulation study on predictive performance
Ben Van Calster, Maarten van Smeden, Ewout W. Steyerberg
When developing risk prediction models, shrinkage methods are recommended, especially when the sample size is limited. Several earlier studies have shown that the shrinkage of mode…
Joint Models with Multiple Longitudinal Outcomes and a Time-to-Event Outcome: a Corrected Two-Stage Approach
Katya Mauff, Ewout Steyerberg, Isabella Kardys +2
Joint models for longitudinal and survival data have gained a lot of attention in recent years, with the development of myriad extensions to the basic model, including those which…
Impact of predictor measurement heterogeneity across settings on performance of prediction models: a measurement error perspective
Kim Luijken, Rolf H. H. Groenwold, Ben van Calster +2
It is widely acknowledged that the predictive performance of clinical prediction models should be studied in patients that were not part of the data in which the model was derived.…
Personalized Screening Intervals for Biomarkers using Joint Models for Longitudinal and Survival Data
Dimitris Rizopoulos, Jeremy M. G. Taylor, Joost van Rosmalen +2
Screening and surveillance are routinely used in medicine for early detection of disease and close monitoring of progression. Biomarkers are one of the primarily tools used for the…