From: Adaptive designs based on the truncated product method
 | δ = | 0.1 | 0.2 | 0.3 | 0.4 | 0.5 |
---|---|---|---|---|---|---|
3 stages | ||||||
Overall power | Ď„ = 1 | 0.198 | 0.498 | 0.789 | 0.950 | 0.993 |
 | τ = 0.5 | 0.198 | 0.502 | 0.799 | 0.953 | 0.993 |
Expected total sample | Ď„ = 1 | 293.3 | 278.7 | 250.0 | 213.7 | 179.6 |
size | Ď„ = 0.5 | 292.7 | 276.9 | 247.1 | 209.9 | 176.1 |
4 stages | ||||||
Overall power | Ď„ = 1 | 0.230 | 0.590 | 0.883 | 0.984 | 0.999 |
 | τ = 0.5 | 0.233 | 0.596 | 0.888 | 0.985 | 0.999 |
Expected total sample | Ď„ = 1 | 389.0 | 360.0 | 308.5 | 254.1 | 207.6 |
size | Ď„ = 0.5 | 387.6 | 356.2 | 302.5 | 246.8 | 202.3 |