Skip to main content
. Author manuscript; available in PMC: 2022 Jul 30.
Published in final edited form as: Stat Med. 2021 May 9;40(17):4014–4033. doi: 10.1002/sim.9011

TABLE 3.

Simulation results based upon 500 datasets for 8 scenarios based on Albert (2007), 1 scenario based on Ishwaran and Gatsonis [I & G] (2000), and 6 scenarios from our simulation setting in Section 4. Our proposed model is examined along with Gaussian random effect [GRE], finite mixture [FM] and Dorfman-Berbaum-Metz [DBM] methods in terms of the following metrics: averages of estimated AUCs, standard errors, 95% confidence intervals (credible intervals for our Bayesian methods), biases, MSEs and coverages (nominal level of 0.95). Gray cells indicate biases larger than 0.1 (in magnitude).

True
Model
Scenario
Case Known
Disease
Num. of
items (m)
Num. of
raters (n)
Truth   Specified Model
GRE (Albert 2007) FM (Albert 2007)
Avg. of estimated AUCs (SE) 95% C.I. Bias (MSE) Coverage Avg. of estimated AUCs (SE) 95% C.I. Bias (MSE) Coverage
GRE (1) No 150 7 0.90 0.90 (0.02) 0.87-0.93 0.002 (0.001) 0.98 0.94 (0.02) 0.89-0.97 0.035 (0.002) 0.52
(2) No 500 7 0.90 0.90 (0.03) 0.85-0.95 0.004 (0.001) 0.99 0.93 (0.01) 0.91-0.96 0.033 (0.001) 0.13
(3) No 50 7 0.80 0.63 (0.13) 0.44-0.85 −0.170 (0.045) 0.05 0.91 (0.05) 0.84-0.99 0.108 (0.014) 0.04
(4) No 500 7 0.80 0.59 (0.12) 0.46-0.82 −0.208 (0.056) 0 0.89 (0.03) 0.86-0.98 0.085 (0.008) 0.01
FM (1) No 150 7 0.90 0.83 (0.03) 0.77-0.88 −0.073 (0.006) 0.87 0.89 (0.02) 0.86-0.93 0.004 (0.001) 0.98
(2) No 500 7 0.90 0.83 (0.02) 0.79-0.86 −0.069 (0.005) 0.35 0.90 (0.01) 0.88-0.92 0.001 (0.001) 0.96
(3) No 150 7 0.80 0.76 (0.03) 0.69-0.79 −0.044 (0.003) 0.96 0.82 (0.04) 0.75-0.89 0.023 (0.002) 0.92
(4) No 500 7 0.80 0.76 (0.01) 0.73-0.78 −0.039 (0.002) 0.87 0.81 (0.03) 0.77-0.88 0.007 (0.001) 0.96
Our Scenarios (1) Yes 90 50 0.78 0.64 (0.06) 0.51-0.74 −0.136 (0.022) 0.14 0.96 (0.02) 0.93-0.98 0.184 (0.034) 0
(2) Yes 90 50 0.71 0.59 (0.06) 0.46-0.71 −0.111 (0.016) 0.27 0.93 (0.02) 0.87-0.97 0.222 (0.049) 0
(3) Yes 90 50 0.64 0.57 (0.09) 0.41-0.72 −0.071 (0.013) 0.53 0.80 (0.01) 0.75-0.85 0.158 (0.025) 0
(4) Yes 148 100 0.67 0.58 (0.03) 0.52-0.64 −0.085 (0.008) 0.35 0.86 (0.04) 0.78-0.93 0.192 (0.038) 0
(5) No 148 100 0.71 0.57 (0.03) 0.51-0.64 −0.135 (0.019) 0.19 0.93 (0.02) 0.88-0.96 0.222 (0.049) 0
(6) Yes 148 100 0.71 0.57 (0.03) 0.51-0.64 −0.135 (0.019) 0.19 0.93 (0.02) 0.88-0.96 0.222 (0.049) 0
I & G (1) Yes 250 3 0.79 0.84 (0.05) 0.71-0.92 0.045 (0.005) 0.76 0.96 (0.01) 0.95-0.98 0.171 (0.029) 0
 
True
Model
Scenario
Case Known
Disease
Num. of
items (m)
Num. of
raters (n)
Truth   Specified Model
DBM Our Proposed Method
Avg. of estimated AUCs (SE) 95% C.I. Bias (MSE) Coverage Avg. of estimated AUCs (SE) 95% C.I. Bias (MSE) Coverage
GRE (1) No 150 7 0.90 - - - - 0.90 (0.05) 0.85-0.94 0.002 (0.003) 0.84
(2) No 500 7 0.90 - - - - 0.91 (0.05) 0.88-0.93 0.007 (0.002) 0.74
(3) No 50 7 0.80 - - - - 0.82 (0.04) 0.79-0.85 0.025 (0.002) 0.95
(4) No 500 7 0.80 - - - - 0.79 (0.06) 0.78-0.81 −0.008 (0.004) 0.97
FM (1) No 150 7 0.90 - - - - 0.86 (0.07) 0.82-0.89 −0.046 (0.007) 0.81
(2) No 500 7 0.90 - - - - 0.86 (0.06) 0.84-0.88 −0.035 (0.001) 0.25
(3) No 150 7 0.80 - - - - 0.78 (0.05) 0.75-0.81 −0.025 (0.003) 0.96
(4) No 500 7 0.80 - - - - 0.80 (0.06) 0.78-0.82 −0.004 (0.004) 0.97
Our Scenarios (1) yes 90 0.77 (0.05) 0.65-0.86 −0.003 (0.003) 0.99 0.80 (0.05) 0.69-0.90 0.023 (0.004) 0.97
(2) 90 0.71 (0.04) 0.62-0.79 0.001 (0.002) 0.99 0.71 (0.04) 0.65-0.79 <0.001 (0.001) 0.94
(3) 90 0.64 (0.03) 0.58-0.70 0.007 (0.001) 0.79 0.67 (0.02) 0.64-0.70 0.035 (0.002) 0.96
(4) 148 0.67 (0.03) 0.61-0.74 0.003 (0.001) 0.95 0.67 (0.02) 0.63-0.72 0.002 (0.001) 0.98
(5) 0.72 (0.03) 0.67-0.78 0.009 (0.001) 0.99
(6) Yes 148 100 0.71 0.71 (0.03) 0.64-0.77 0.001 (0.001) 0.99 0.70 (0.03) 0.65-0.77 −0.004 (0.001) 0.93
I & G (1) Yes 250 0.79 0.79 (0.03) 0.74-0.84 0.002 (0.001) 0.97 0.79 (0.01) 0.79-0.81 0.007 (0.001) 0.94