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Table 1 FNS design

From: False discovery rate control in two-stage designs

  

m= 1000

m= 10000

m= 100000

m 2

Ï€ 0

Δ = 1

Δ = 1.6

Δ = 1

Δ = 1.6

Δ = 1

Δ = 1.6

0.01m

.95

6.1 (17%;)

15.4 (58%;)

58.7 (19%;)

141.9 (46%;)

583.7 (19%;)

1406.8 (45%;)

0.01m

.99

1.8 (13%;)

5.0 (2%;)

13.3 (19%;)

41.9 (3%;)

126.8 (20%;)

407.4 (3%;)

0.05m

.95

12.5 (21%;)

26.7 (5%;)

117.6 (23%;)

260.3 (5%;)

1166.9 (23%;)

2590.3 (5%;)

0.05m

.99

2.8 (25%;)

6.2 (4%;)

19.8 (35%;)

53.8 (6%;)

188.4 (36%;)

523.7 (6%;)

0.1m

.95

14.9 (27%;)

30.1 (6%;)

139.9 (29%;)

293.9 (7%;)

1388.2 (29%;)

2926.5 (7%;)

0.1m

.99

3.1 (33%;)

6.5 (6%;)

22.0 (47%;)

57.0 (9%;)

209.9 (49%;)

554.7 (9%;)

  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 (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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