Simulation study shows regression shrinkage improves average calibration of binary clinical models but raises between-sample variability and often applies the wrong amount of shrinkage in individual datasets.
Performance of logistic regression modeling: beyond the number of events per variable, the role of data structure
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
On the variability of regression shrinkage methods for clinical prediction models: simulation study on predictive performance
Simulation study shows regression shrinkage improves average calibration of binary clinical models but raises between-sample variability and often applies the wrong amount of shrinkage in individual datasets.