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Table 2 Univariate Cox regression modeling for the overall survival using each of the three gene models (A) and bivariate Cox regression modeling by combining two of the three gene models (B) in validation set I

From: A robust blood gene expression-based prognostic model for castration-resistant prostate cancer

A. Univariate analysis (individual gene model)

   
 

Concordance index

P value (Likelihood ratio test)

P value (Logrank test)

Wang_4genescore

0.81

0.0006

7×10−05

Olmos_9genescore

0.72

0.004

0.005

Ross_6genescore

0.68

0.028

0.026

B. Bivariate analysis (Combining two gene models)

 

P value (Wald’s test)

  

Wang_4genescore

0.042

  

Olmos_9genescore

0.35

  

Wang_4genescore

0.010

  

Ross_6genescore

0.99

  

Olmos_9genescore

0.054

  

Ross_6genescore

0.40

 Â