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Table 2 Data analysis results: prediction logrank statistics and concordance indices.

From: Incorporating higher-order representative features improves prediction in network-based cancer prognosis analysis

 

Logrank statistic

Concordance index

Data

R1

R2

R3

R4

R1

R2

R3

R4

D1

15.30

19.10

34.70

0.18

0.74

0.70

0.77

0.50

D2

0.25

4.56

0.60

0.46

0.61

0.67

0.51

0.58

D3

10.40

0.32

19.00

2.14

0.62

0.53

0.69

0.55

D4

3.89

13.80

11.40

0.01

0.63

0.66

0.64

0.54

D5

7.95

7.50

7.50

12.30

0.72

0.70

0.70

0.76

D6

6.27

2.15

6.46

7.99

0.65

0.61

0.69

0.73

  1. Larger logrank statistics and concordance indices correspond to more predictive power. A logrank statistic greater than 3.84 is significant at the 0.05 level.
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BMC Medical Genomics

ISSN: 1755-8794

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