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| Risikoadjustierte diagnostische Genauigkeitsstudie× | Evaluierung von Screening-Tests× | |
|---|---|---|
| Fachgebiet | Epidemiologie | Epidemiologie |
| Familie | Process / pipeline | Process / pipeline |
| Entstehungsjahr≠ | Conceptual roots 1980s–1990s; covariate-adjusted ROC formally introduced 2009 | 1968 (Wilson-Jungner principles); statistical framework developed 1970s–2000s |
| Urheber≠ | Margaret Pepe and colleagues; covariate-adjusted ROC formalized by Janes & Pepe (2009) | Wilson & Jungner (WHO criteria, 1968); foundational work by Pepe, Altman, and others in statistical test evaluation |
| Typ≠ | Observational clinical study design with covariate adjustment | Observational diagnostic / epidemiological evaluation design |
| Wegweisende Quelle≠ | Pepe, M. S. (2003). The Statistical Evaluation of Medical Tests for Classification and Prediction. Oxford University Press. ISBN: 978-0198509844 | Wilson, J. M. G., & Jungner, G. (1968). Principles and Practice of Screening for Disease. World Health Organization. Public Health Papers No. 34. link ↗ |
| Aliasnamen | case-mix-adjusted diagnostic accuracy, stratified diagnostic accuracy study, covariate-adjusted diagnostic accuracy, risk-stratified DTA study | screening study, screening performance evaluation, screening accuracy assessment, STE |
| Verwandt | 6 | 6 |
| Zusammenfassung≠ | A risk-adjusted diagnostic accuracy study evaluates how well an index test identifies a target condition while explicitly accounting for patient-level risk factors that influence either disease prevalence or test performance. By adjusting for case-mix, it yields accuracy estimates — sensitivity, specificity, and AUC — that are not confounded by the composition of the study sample, enabling fairer comparisons across populations and clinical settings. | 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. |
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