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Table 2 FDRS design

From: False discovery rate control in two-stage designs

  

m= 1000

m= 10000

m= 100000

α 1

Ï€ 0

Δ = 1

Δ = 1.6

Δ = 1

Δ = 1.6

Δ = 1

Δ = 1.6

0.1

.95

2.5 (-1 %;)

18.3 (0%;)

17.7 (1%;)

171.7 (0%;)

166.2 (0%;)

1703.0 (0%;)

 

.99

0.4 (-4%;)

3.3 (0%;)

1.3 (-3%;)

23.1 (0%;)

7.4 (0%;)

219.7 (0%;)

0.2

.95

4.3 (1%;)

21.7 (1%;)

34.1 (2%;)

206.4 (0%;)

328.6 (2%;)

2047.1 (0%;)

 

.99

0.6 (-3%;)

3.9 (0%;)

2.3 (0%;)

28.9 (0%;)

15.8 (1%;)

275.7 (0%;)

0.5

.95

9.3 (8%;)

27.4 (2%;)

81.3 (7%;)

264.1 (2%;)

799.7 (7%;)

2625.7 (2%;)

 

.99

1.3 (4%;)

5.1 (1%;)

6.2 (5%;)

39.8 (1%;)

51.2 (5%;)

382.0 (1%;)

  1. The mean number of rejected alternatives for the integrated design and the improvement in percent compared to the pilot design (in parentheses) for independent scenarios with α = 0.05, n1 = 6, n2 = 12, m s  = 6 (20000 simulation runs per scenario for m = 1000, m = 10000; 10000 simulation runs for m = 100000).
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BMC Bioinformatics

ISSN: 1471-2105

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