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

  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},
  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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  • P. Albert
  • Engineering
    Statistics in medicine
  • 2009
Analytical and simulation techniques show that, as long as the sensitivity and specificity of the imperfect test are high, inferences on diagnostic accuracy are robust to misspecification of the joint model.