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Table 2 Recommendation of the thresholds to be used for each method and each data situation

From: Variable selection for disease progression models: methods for oncogenetic trees and application to cancer and HIV

n 1

50/1000

50/1000

50/1000

50/1000

n 2

2

12

2

12

π i

[0,0.2]

[0,0.2]

[0.2,0.4]

[0.2,0.4]

freq

0.2

0.2

0.2

0.2

cor

0.3

0.3

0.3

0.3

fisher

0.01

0.01

0.01

0.01

z

0.9

0.9

0.9

0.9

weight

0.3

0.05

0.3

0.05

OT

0.25

0.25

0.25

0.25

lcliq

0.05

0.05

0.2

0.2

mcliq

0.05

0.05

0.15

0.15

  1. The method of Brodeur generates its threshold implicitly and the single method does not need any threshold at all