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stat.ME2019
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…
stat.AP2019
Personalized Decision Making for Biopsies in Prostate Cancer Active Surveillance Programs
Anirudh Tomer, Dimitris Rizopoulos, Daan Nieboer +3
Background: Low-risk prostate cancer patients enrolled in active surveillance programs commonly undergo biopsies for examination of cancer progression. Biopsies are conducted as pe…