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Table 2 A comparison of modelling strategies in three additional clinical data sets

From: A computational approach to compare regression modelling strategies in prediction research

Strategy Oudega random subset Toll validation data set Deepvein data set
Victory rate (%) Mean shrinkage Victory rate (%) Mean shrinkage Victory rate (%) Mean shrinkage
1. Heuristic shrinkage 63.8 0.93 60.8 0.93 3.9 0.71
2. Split sample shrinkage 61.9 0.92 42.0 0.94 93.8 0.98
3. 10 fold CV shrinkage 38.3 1.00 39.6 0.99 90.9 0.99
4. Bootstrap shrinkage 56.4 0.89 42.6 0.94 94.9 0.97
5. Firth penalization 73.8 -* 66.0 -* 65.8 -*
  1. Victory rates of each strategy over the null strategy are presented, as well as the mean shrinkage factor applied in each of the shrinkage-based strategies. Values are based on 5000 comparison replicates. Abbreviations: CV cross-validation
  2. *No mean shrinkage for the Firth penalization strategy is presented as shrinkage occurs during the coefficient estimation process