Different latent class models were used and evaluated for assessing the accuracy of campylobacter diagnostic tests: overcoming imperfect reference standards?

@article{Asselineau2018DifferentLC,
  title={Different latent class models were used and evaluated for assessing the accuracy of campylobacter diagnostic tests: overcoming imperfect reference standards?},
  author={Julien Asselineau and A{\"i}ssatou Paye and Emilie Bess{\`e}de and P Perez and C{\'e}cile Proust-Lima},
  journal={Epidemiology and Infection},
  year={2018},
  volume={146},
  pages={1556 - 1564}
}
Abstract In the absence of perfect reference standard, classical techniques result in biased diagnostic accuracy and prevalence estimates. By statistically defining the true disease status, latent class models (LCM) constitute a promising alternative. However, LCM is a complex method which relies on parametric assumptions, including usually a conditional independence between tests and might suffer from data sparseness. We carefully applied LCMs to assess new campylobacter infection detection… 

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