TABLE 3.

Properties of fixed subpopulation (FS), fixed full population (FF), and optimal adaptive enrichment (AE) designs when $\mathit{\theta }$ has the prior distribution given by (13). Here $P({ℛ}_1)$ is the probability that only H₀₁ is rejected and $P({ℛ}_3)$ the probability that H₀₃ is rejected

${\mu }_1$	${\mu }_2$	${\sigma }_1^2$	${\sigma }_2^2$	$\rho$	Trial design	$P({ℛ}_1)$	$P({ℛ}_3)$	P(Enrich)	$E\{G(\mathit{\theta },X)\}$
10	2	25	25	0.75	FS	0.75	—	—	4.42
					FF	0.10	0.48	—	4.89
					AE	0.25	0.38	0.53	4.98
10	4	25	25	0.75	FS	0.75	—	—	4.42
					FF	0.06	0.54	—	5.64
					AE	0.15	0.48	0.37	5.63
10	6	25	25	0.75	FS	0.75	—	—	4.42
					FF	0.04	0.61	—	6.52
					AE	0.08	0.57	0.23	6.43
10	10	25	25	0.75	FS	0.75	—	—	4.43
					FF	0.01	0.72	—	8.59
					AE	0.01	0.70	0.02	8.43
12	2	25	25	0.75	FS	0.84	—	—	5.57
					FF	0.12	0.55	—	6.09
					AE	0.29	0.44	0.49	6.23
12	4	25	25	0.75	FS	0.84	—	—	5.57
					FF	0.08	0.62	—	6.86
					AE	0.18	0.55	0.33	6.91
12	6	25	25	0.75	FS	0.84	—	—	5.57
					FF	0.05	0.68	—	7.77
					AE	0.10	0.64	0.21	7.72
14	2	25	25	0.75	FS	0.91	—	—	6.72
					FF	0.14	0.63	—	7.33
					AE	0.32	0.50	0.44	7.53
14	4	25	25	0.75	FS	0.91	—	—	6.72
					FF	0.10	0.69	—	8.13
					AE	0.19	0.62	0.29	8.21
14	6	25	25	0.75	FS	0.91	—	—	6.72
					FF	0.06	0.74	—	9.03
					AE	0.11	0.71	0.18	9.04