A Diagnostic Test Based on a 9-Component Mixture Gaussian Copula Model
- A. Nanthakumar
Abstract
Here in this paper, we investigate the performance of a diagnostic test based on a mixture Gaussian Copula which incorporates a Markov Chain. Suppose that in the context of an infectious disease, there are three states; Susceptible (S), Infected (I), or Recovered (R). We compare the performance of this approach with the ROC (Receiver Operating Characteristic) Curve which is usually used in diagnostic studies.
- Full Text: PDF
- DOI:10.5539/ijsp.v10n4p1
This work is licensed under a Creative Commons Attribution 4.0 License.
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