Estimation results from three methods (data from truncated-normal).

Table 1: Estimation results from three methods (data from truncated-normal).

prev = 0.55, sen = spec = 0.85, ω₀ = 0.85, EF = 0.81

Setups	Parameters	True	Empirical	NP Bayes	MLE (EM)
n₁ = 50	$μ_{T}$	3.71	3.7381	3.7110	3.7881
$α_{T} () \sim N (3.52, 0.89)$	$μ_{C}$	3.23	3.2266	3.2176	3.2208
$α_{C} () \sim N (3.02, 0.89)$	q	0.48	0.5125	0.5119	0.5673
	$σ_{C}^{2}$	0.35	0.3502	0.3463	0.3209
	$σ_{T}^{2}$	0.3754	0.3889	0.3781	0.3761
	$ω_{1}$	0.8738	0.85	0.8915	0.8272
	Reject H₀	-	0.4371	0.4371	0.4910
	${\hat{n}}_{2} (M e d / M e a n / T r i m)$	-	(100,237,115)	(100,181,109)	(100,201,111)
n₁ = 70	$μ_{T}$	5.21	5.2313	5.2381	5.3072
$α_{T} () \sim N (5.47, 0.87)$	$μ_{C}$	4.51	4.5168	4.5118	4.5115
$α_{C} () \sim N (4.34, 0.87)$	q	0.70	0.7145	0.7262	0.7958
	$σ_{C}^{2}$	0.74	0.7447	0.7087	0.6917
	$σ_{T}^{2}$	0.7940	0.8173	0.7829	0.8024
	$ω_{1}$	0.8378	0.85	0.8494	0.8103
	Reject H₀	-	0.5489	0.5928	0.6128
	${\hat{n}}_{2} (M e d / M e a n / T r i m)$	-	(140,202,145)	(140,183,144)	(140,194,144)
n₁ = 90	$μ_{T}$	9.82	9.8387	9.8360	9.9123
$α_{T} () \sim N (9.93, 1.05)$	$μ_{C}$	9.04	9.0501	9.0497	9.0445
$α_{C} () \sim N (9.03, 1.05)$	q	0.78	0.7885	0.7879	0.8678
	$σ_{C}^{2}$	0.93	0.9263	0.8886	0.8704
	$σ_{T}^{2}$	0.9971	1.0138	0.9748	0.9986
	$ω_{1}$	0.8738	0.85	0.8519	0.8265
	Reject H₀	-	0.6627	0.6786	0.7186
	${\hat{n}}_{2} (M e d / M e a n / T r i m)$	-	(180,258,184)	(180,285,184)	(180,257,185)