Skip to main content

Table 1 Simulation results for Design 1

From: Estimating the optimal threshold for a diagnostic biomarker in case of complex biomarker distributions

    

Relative bias*

Coverage probability

CI mean width

    

Mode

Median

Mean

Quantile

HPD

Quantile

HPD

N 0

N 1

σ 0

σ 1

Gauss

t

Gauss

t

Gauss

t

Gauss

t

Gauss

t

Gauss

t

Gauss

t

100

100

0.07

0.07

−0.00022

−0.00014

−0.00003

−0.00016

−0.00003

−0.00018

0.945

0.948

0.943

0.944

0.022

0.021

0.022

0.021

100

100

0.05

0.05

0.00006

0.00015

−0.00003

0.00021

−0.00003

0.00021

0.947

0.951

0.945

0.944

0.014

0.015

0.014

0.015

100

100

0.03

0.03

−0.00019

0.00010

−0.00020

0.00016

−0.00020

0.00011

0.948

0.956

0.945

0.951

0.010

0.011

0.010

0.011

50

50

0.07

0.07

0.00124

0.00114

0.00114

0.00106

0.00115

0.00104

0.949

0.953

0.948

0.950

0.032

0.031

0.032

0.031

50

50

0.05

0.05

0.00004

0.00030

0.00002

0.00031

0.00002

0.00030

0.950

0.951

0.949

0.948

0.020

0.021

0.020

0.022

50

50

0.03

0.03

−0.00038

0.00071

−0.00042

0.00072

−0.00043

0.00070

0.944

0.941

0.940

0.940

0.015

0.016

0.015

0.016

100

100

0.07

0.03

0.00047

0.00567

−0.00047

0.00518

−0.00015

0.00530

0.949

0.941

0.950

0.934

0.012

0.013

0.012

0.013

100

100

0.03

0.07

−0.00067

−0.00544

0.00025

−0.00492

−0.00006

−0.00510

0.946

0.938

0.946

0.935

0.012

0.013

0.012

0.013

50

50

0.07

0.03

0.00057

0.00727

−0.00120

0.00608

−0.00055

0.00651

0.948

0.944

0.946

0.940

0.018

0.019

0.018

0.019

50

50

0.03

0.07

−0.00114

−0.00719

0.00063

−0.00610

0.00000

−0.00651

0.953

0.948

0.949

0.942

0.018

0.019

0.018

0.019

  1. *Relative bias of the mode, the median, and the mean estimates of the optimal threshold.
  2. Coverage probability and credible interval (CI) mean width found with the quantile and the Highest Posterior Density (HPD) region method.
  3. N 0 and N 1: number of non-diseased and diseased subjects – σ 0 and σ 1 : standard deviation of the distribution of the marker in non-diseased and diseased subjects – Gauss: Gaussian distribution – t: Student-t distribution.