Table 4 |
|||||||
| FNS design for equi-correlated data | |||||||
| m = 1000 | m = 10000 | m=100000 | |||||
| m2 | π0 | 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%;) | |
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, ms = 6 (20000 simulation runs per scenario for m = 1000, m = 10000; 10000 simulation runs for m=100000).
Zehetmayer and Posch BMC Bioinformatics 2012 13:81 doi:10.1186/1471-2105-13-81
