Table 1.
Design | δ | α̂ | ASNα | 1−β̂ | ASNβ |
---|---|---|---|---|---|
OBF | 0.4 | 0.023 | 68.7 | 0.983 | 84.2 |
Self-designing | 0.4 | 0.010 | 85.4 | 0.923 | 87.2 |
Bayes Adaptive | 0.4 | 0.014 | 55.3 | 0.949 | 75.0 |
ED | 0.4 | 0.025 | 42.9 | 0.908 | 55.0 |
OBF | 0.7 | 0.024 | 26.9 | 0.644 | 38.2 |
Self-designing | 0.7 | 0.017 | 49.0 | 0.798 | 62.6 |
Bayes Adaptive | 0.7 | 0.014 | 45.4 | 0.912 | 66.4 |
ED | 0.7 | 0.019 | 42.7 | 0.901 | 54.8 |
Monte Carlo simulation based on 10,000 repetitions. B0 = 1, B1 = 15, σ = 1, K1 = 1, K2 = 3 * 105, c = BK2, and K0 = r/(1 − r), where r is defined by (3.14). ASNα and ASNβ are average sample sizes under θ = 0 and θ = 0.5, respectively.