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Table 1 The averaged ACVL for several values of K across 100 simulations. Of the 2,000 genes, 50 genes were configured to be informative. The number of patients was 100.

From: Predicting survival outcomes using subsets of significant genes in prognostic marker studies with microarrays

 

Correlation matrix

 

Exchangeable

Lymphoma data*

 

ρ = 0.2

ρ = 0.7

  

K

CC

MC

CC

MC

CC

MC

1

41.2

41.2

51.6

51.6

48.2

48.2

5

33.3

34.1

46.7

48.2

45.6

46.4

10

29.3

33.2

43.3

46.6

45.2

48.2

20

24.9

49.0

38.4

62.1

45.0

57.4

50

17.3

-

34.6

-

41.7

-

75

21.3

-

40.1

-

42.3

-

100

25.3

-

44.0

-

43.2

-

200

36.0

-

53.3

-

47.0

-

500

50.6

-

63.6

-

53.9

-

1000

56.6

-

70.3

-

58.8

-

  1. *The correlation matrix obtained from the lymphoma data for the top 50 genes in the gene filtering with model (1).
  2. Cox model with the compound covariate (model (3))
  3. Multivariate Cox model (model (6)) for the top K (≤ 20) genes