TABLE 1.

Results of the simulation study for estimating specificity ${\varphi }_0$ under controlled sensitivity level ${\rho }_0$

	Proposed method								JP-SP
			Sample-based			BT-based
${\mathit{n}}_1={\mathit{n}}_0$	Bias	SD	SE	Cov	LCov	SE	Cov	LCov	Bias	Cov
${\rho }_0=0.95,{\varphi }_0=0.24$
100	160	784	1111	94.28	95.62	818	94.72	94.22	424	85.98
200	85	570	739	93.14	94.42	597	94.68	95.06	409	80.12
500	43	358	444	94.76	95.24	382	95.52	95.18	396	68.90
1000	19	265	300	93.78	94.18	270	94.36	94.40	388	51.44
${\rho }_0=0.90,{\varphi }_0=0.36$
100	68	777	1037	95.54	96.36	822	95.62	96.58	116	93.48
200	25	557	682	94.64	95.46	582	95.00	95.68	103	91.36
500	13	354	410	95.00	95.22	367	95.08	95.38	103	92.04
1000	4	254	277	94.8	94.98	257	94.82	94.96	95	90.12
${\rho }_0=0.85$, ${\varphi }_0=0.45$
100	17	736	943	95.38	96.28	788	95.64	96.94	−65	94.32
200	1	537	634	95.08	95.74	554	94.94	95.40	−72	92.92
500	5	334	377	95.28	95.66	346	95.28	95.48	−68	93.02
1000	2	238	259	94.82	94.98	243	94.76	94.90	−72	92.82
${\rho }_0=0.80$, ${\varphi }_0=0.52$
100	−10	706	874	95.18	96.24	750	95.36	96.64	−172	94.32
200	−6	510	588	95.20	95.78	525	95.14	95.70	−176	92.34
500	2	315	352	94.98	95.12	326	94.50	94.70	−172	90.64
1000	2	226	242	95.04	95.12	229	94.84	94.92	−173	85.90

BT-based, bootstrap-based; JP-SP, semiparametric method using the normal linear model of Janes and Pepe (2009); Bias, $(\hat{\varphi }-{\varphi }_0)\times {10}^4$; SD, standard deviation (×10⁴); SE, mean standard error (×10⁴); Cov (%) and LCov (%), coverage rates of 95% confidence interval and logit transformation-based confidence interval.