Update to: Application of Bayesian decision-making to laboratory testing for Lyme disease and comparison with testing for HIV

@inproceedings{Cook2017UpdateTA,
  title={Update to: Application of Bayesian decision-making to laboratory testing for Lyme disease and comparison with testing for HIV},
  author={Michael J. Cook and Basant K. Puri},
  booktitle={International journal of general medicine},
  year={2017}
}
In this study, Bayes' theorem was used to determine the probability of a patient having Lyme disease (LD), given a positive test result obtained using commercial test kits in clinically diagnosed patients. In addition, an algorithm was developed to extend the theorem to the two-tier test methodology. Using a disease prevalence of 5%-75% in samples sent for testing by clinicians, evaluated with a C6 peptide enzyme-linked immunosorbent assay (ELISA), the probability of infection given a positive… CONTINUE READING