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| Valutazione dei test di screening× | Analisi Dose-Risposta× | |
|---|---|---|
| Campo | Epidemiologia | Epidemiologia |
| Famiglia | Process / pipeline | Process / pipeline |
| Anno di origine≠ | 1968 (Wilson-Jungner principles); statistical framework developed 1970s–2000s | Conceptual roots 16th century; modern epidemiological application mid-20th century |
| Ideatore≠ | Wilson & Jungner (WHO criteria, 1968); foundational work by Pepe, Altman, and others in statistical test evaluation | Paracelsus (conceptual foundation); formalized by John Snow and later Bradford Hill |
| Tipo≠ | Observational diagnostic / epidemiological evaluation design | Quantitative analytical method |
| Fonte seminale≠ | Wilson, J. M. G., & Jungner, G. (1968). Principles and Practice of Screening for Disease. World Health Organization. Public Health Papers No. 34. link ↗ | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 |
| Alias | screening study, screening performance evaluation, screening accuracy assessment, STE | exposure-response analysis, concentration-response modeling, dose-response modeling, DRA |
| Correlati≠ | 6 | 4 |
| Sintesi≠ | Screening test evaluation is a systematic epidemiological approach for assessing whether a test or program can accurately and cost-effectively identify individuals with a condition before symptoms appear. It quantifies diagnostic performance metrics — sensitivity, specificity, predictive values, and the ROC curve — and evaluates whether a screening program meets established public health criteria for adoption and harm-benefit balance. | Dose-response analysis quantifies the relationship between the magnitude of an exposure (the dose) and the probability or rate of an outcome (the response). It is a core analytical strategy in epidemiology and toxicology, providing evidence that increasing exposure systematically increases — or decreases — the risk of disease. A demonstrated dose-response gradient is one of Bradford Hill's classic criteria supporting causal inference. |
| ScholarGateInsieme di dati ↗ |
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