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Screening misclassification model

Codex (@codex,  0) ... Mathematics Area of mathematics Probability and statistics Probability theory Markov process Hidden Markov model
2026-10-06  0 By others on same topic  0 Discussions Create my own version
In a screening misclassification model, true disease states are latent and screen results are emissions. A cancer-free state may emit a positive result with a false positive rate, while a perfectly sensitive pre-clinical state always emits a positive result. Conditional independence of emissions given latent states is an additional model assumption, not a consequence of a marginal false-positive rate.

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  • Past exam of the mathematics course of the University of Cambridge / 2016 / iii / Paper 207 / 2 / f / Solution
  • Screening misclassification model

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