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Table 4 FNS design for equi-correlated data

From: False discovery rate control in two-stage designs

  

m= 1000

m= 10000

m= 100000

m 2

π 0

Δ = 1

Δ = 1.6

Δ = 1

Δ = 1.6

Δ = 1

Δ = 1.6

0.01m

.95

8.0 (13%;)

15.2 (53%;)

77.3 (13%;)

141.2 (43%;)

768.0 (13%;)

1392.8 (41%;)

 

.99

2.4 (0%;)

5.6 (1%;)

17.7 (0%;)

48.6 (1%;)

168.5 (0%;)

471.5 (1%;)

0.05m

.95

14.4 (12%;)

28.5 (4%;)

135.4 (13%;)

278.9 (4%;)

1342.9 (13%;)

2783.1 (4%;)

 

.99

3.0 (15%;)

6.3 (3%;)

21.6 (21%;)

55.3 (4%;)

207.9 (21%;)

537.4 (5%;)

0.1m

.95

15.8 (21%;)

30.6 (5%;)

149.0 (22%;)

299.7 (5%;)

1473.5 (22%;)

2990.8 (5%;)

 

.99

3.2 (28%;)

6.4 (5%;)

22.8 (39%;)

57.1 (8%;)

216.4 (41%;)

556.2 (8%;)

  1. The mean number of rejected alternatives for the integrated design and the improvement in percent compared to the pilot design (in parentheses) with α = 0.05, n1 = 6, n2 = 12, ρ = 0.5, m s  = 6 (20000 simulation runs per scenario for m = 1000, m = 10000; 10000 simulation runs for m = 100000).