Záznam dôkazov metódy

Bayesian Screening Test Evaluation

Bayesian screening test evaluation applies Bayes' theorem to quantify how a screening test result changes the probability that an individual truly has a disease. Rather than reporting sensitivity and specificity in isolation, the approach centres on predictive values — the probability of disease given a positive or negative test — which depend critically on disease prevalence in the population being screened. The framework allows systematic updating of pre-test probability to post-test probability and supports decision-making under uncertainty.

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Taxonomický záznam metódy · process-pipeline / epidemiology

Fletcher, R. H., Fletcher, S. W., & Fletcher, G. S. (2014). Clinical Epidemiology: The Essentials (5th ed.). Lippincott Williams & Wilkins. · ISBN 978-1451144475
Altman, D. G., & Bland, J. M. (1994). Diagnostic tests 2: Predictive values. BMJ, 309(6947), 102. · URL

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Taxonomic bucketBayesian Diagnostic Accuracy Studymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketCase-control studymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketCohort Studymachine-suggested · Relational suggestion, not evidence.Same method familyDiagnostic Accuracy Study Designmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketDose-Response Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketScreening Test Evaluationmachine-suggested · Relational suggestion, not evidence.