Comparison between different response rate (Truncated-normal).

Table 2: Comparison between different response rate (Truncated-normal).

prev = 0.65, sen = spec = 0.85, ω₀ = 0.88

Setups	Parameters	True	Empirical	NP Bayes	MLE (EM)
n1 = 70	$μ_{T}$	2.85	2.8630	2.8675	2.9550
$α_{T} () \sim N (2.92, 0.97)$	$μ_{C}$	2.45	2.4592	2.4601	2.4503
$α_{C} () \sim N (2.49, 0.97)$		0.40	0.4038	0.4045	0.5047
EF = 0.485	$σ_{C}^{2}$	0.68	0.6747	0.6464	0.6332
	$σ_{T}^{2}$	0.6927	0.6974	0.6670	0.6933
	$ω_{1}$	0.9132	0.88	0.8354	0.8714
	Reject H₀	-	0.1856	0.1936	0.2335
	${\hat{n}}_{2} (M e d / M e a n / T r i m)$	-	(142,496,241)	(140,463,232)	(140,460,219)
n1 = 70	$μ_{T}$	2.85	2.8631	2.8677	2.9295
$α_{T} () \sim N (2.92, 0.793)$	$μ_{C}$	2.45	2.4546	2.4556	2.4503
$α_{C} () \sim N (2.49, 0.793)$	θ	0.40	0.4086	0.4092	0.4124
EF = 0.603	$σ_{C}^{2}$	0.44	0.4421	0.4279	0.4124
	$σ_{T}^{2}$	0.4527	0.4633	0.4497	0.4581
	$ω_{1}$	0.9132	0.88	0.8777	0.8245
	Reject H₀	-	0.3154	0.3134	0.3613
	${\hat{n}}_{2} (M e d / M e a n / T r i m)$	-	(142,340,187)	(140,335,180)	(140,335,175)
n1 = 70	$μ_{T}$	2.85	2.8636	2.8681	2.9225
$α_{T} () \sim N (2.92, 0.97)$	$μ_{C}$	2.45	2.4537	2.4547	2.450311
$α_{C} () \sim N (2.49, 0.97)$	θ	0.40	0.4098	0.4104	0.4714
EF = 0.699	$σ_{C}^{2}$	0.33	0.3320	0.3179	0.3083
	$σ_{T}^{2}$	0.3427	0.3525	0.3390	0.3483
	$ω_{1}$	0.9132	0.88	0.8691	0.8229
	Reject H₀	-	0.4371	0.4531	0.5050
	${\hat{n}}_{2} (M e d / M e a n / T r i m)$	-	(140,252,157)	(140,273,157)	(140,300,156)