Probabilistic Bayesian reasoning can help identifying potentially wrong immunoassays results in clinical practice: even when they appear 'not-unreasonable'.

@article{Ismail2011ProbabilisticBR,
  title={Probabilistic Bayesian reasoning can help identifying potentially wrong immunoassays results in clinical practice: even when they appear 'not-unreasonable'.},
  author={Adel A A Ismail and Abbas A Ismail and Yasmin Ismail},
  journal={Annals of clinical biochemistry},
  year={2011},
  volume={48 Pt 1},
  pages={65-71}
}
BACKGROUND Immunoassays are susceptible to analytical interferences including from endogenous immunoglobulin antibodies at a rate of ∼0.4% to 4%. Hundreds of millions of immunoassay tests (>10 millions in the UK alone) are performed yearly worldwide for measurements of an array of large and small moieties such as proteins, hormones, tumour markers, rheumatoid factor, troponin, small peptides, steroids and drugs. METHODS Interference in these tests can lead to false results which when… CONTINUE READING