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Table 1 One random split into training and test data for the Mainz cohort study

From: Survival models with preclustered gene groups as covariates

Method

Covariates

p LR

p PI

p IBS

λ

sel.cov

L 1

genes

0.0190

0.0017

0.1042

11.72

19

L 1

GO

0.0176

0.0018

0.1103

10.75

16

L 1

clustered

0.0092

0.0002

0.0830

28.53

5

L 2

genes

0.0098

0.0003

0.0877

5112.08

17834

L 2

GO

0.0541

0.0097

0.1022

11749.16

6530

L 2

clustered

0.0690

0.0006

0.0896

96499.04

31229

  1. Results for the two prediction methods using (i) genes, (ii) GO groups, and (iii) preclustered GO groups. For ridge regression, nearly all covariates are kept in the model since parameter estimates are unlikely to get shrunken exactly to 0.LR = ^ logranktest, PI = ^ prognosticindex,IBS = ^ IntegratedBrierScore,sel.cov = ^ numberofselectedcovariates.