Modelling of Infectious Disease CEntre
Imperfect Gold Standard Models

MODEL106 : 4-tests in 1-population Model (Advance Interface)
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Data input
Test A Test B Test C Test D Frequency observed
Positive Positive Positive Positive
Positive Positive Positive Negative
Positive Positive Negative Positive
Positive Positive Negative Negative
Positive Negative Positive Positive
Positive Negative Positive Negative
Positive Negative Negative Positive
Positive Negative Negative Negative
Negative Positive Positive Positive
Negative Positive Positive Negative
Negative Positive Negative Positive
Negative Positive Negative Negative
Negative Negative Positive Positive
Negative Negative Positive Negative
Negative Negative Negative Positive
Negative Negative Negative Negative
Correlation between diagnostic tests (Using example value)
Prior distributions (Using example value)
Note!
Model default value of specificity of Test A is fixed to 100%. The dataset is taken from a study of diagnostic tests for melioidosis. Test A is culture, and a positive culture of B. pseudomallei is a definite indication of melioidosis infection. Please refer to Limmathurotsakul D, et al. PLoS One 2010;5:e12485 for more details.
Initial values (Using example value)
Note!
The prevalance is set to a fixed value in the above section; therefore, its initial will not be taken into account during Bayesian LCM analysis.
The sensitivity of test A is set to a fixed value in the above section; therefore, its initial will not be taken into account during Bayesian LCM analysis.
The sensitivity of test B is set to a fixed value in the above section; therefore, its initial will not be taken into account during Bayesian LCM analysis.
The sensitivity of test C is set to a fixed value in the above section; therefore, its initial will not be taken into account during Bayesian LCM analysis.
The sensitivity of test D is set to a fixed value in the above section; therefore, its initial will not be taken into account during Bayesian LCM analysis.
The specificity of test A is set to a fixed value in the above section; therefore, its initial will not be taken into account during Bayesian LCM analysis.
The specificity of test B is set to a fixed value in the above section; therefore, its initial will not be taken into account during Bayesian LCM analysis.
The specificity of test C is set to a fixed value in the above section; therefore, its initial will not be taken into account during Bayesian LCM analysis.
The specificity of test D is set to a fixed value in the above section; therefore, its initial will not be taken into account during Bayesian LCM analysis.
Settings (Using example value)
Conventional method to be compared with the imperfect gold standard model (Using example value)