Table 2

FDRS design
m = 1000 m = 10000 m = 100000
α1 π0 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%;)

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, ms = 6 (20000 simulation runs per scenario for m = 1000, m = 10000; 10000 simulation runs for m = 100000).

Zehetmayer and Posch

Zehetmayer and Posch BMC Bioinformatics 2012 13:81   doi:10.1186/1471-2105-13-81

Open Data