Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Analyse adaptative dose-réponse× | Évaluation des tests et programmes de dépistage× | |
|---|---|---|
| Domaine | Épidémiologie | Épidémiologie |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 2000s (key papers 2005–2007; ICH E4 guidance 1994 for classical dose-response) | 1968 (Wilson-Jungner principles); statistical framework developed 1970s–2000s |
| Auteur d'origine≠ | Frank Bretz, José Pinheiro and colleagues; foundational MCP-Mod framework | Wilson & Jungner (WHO criteria, 1968); foundational work by Pepe, Altman, and others in statistical test evaluation |
| Type≠ | Adaptive statistical design and analysis | Observational diagnostic / epidemiological evaluation design |
| Source fondatrice≠ | Bretz, F., Pinheiro, J. C., & Branson, M. (2005). Combining multiple comparisons and modeling techniques in dose-response studies. Biometrics, 61(3), 738-748. DOI ↗ | Wilson, J. M. G., & Jungner, G. (1968). Principles and Practice of Screening for Disease. World Health Organization. Public Health Papers No. 34. link ↗ |
| Alias | adaptive DRA, adaptive dose-finding analysis, adaptive exposure-response analysis, adaptive D-R modeling | screening study, screening performance evaluation, screening accuracy assessment, STE |
| Apparentées | 6 | 6 |
| Résumé≠ | Adaptive dose-response analysis combines pre-specified dose-response modeling with planned interim looks that allow modifications — such as dropping ineffective doses or reallocating sample size — while maintaining statistical integrity. The most widely cited framework is MCP-Mod (Multiple Comparisons and Modeling), endorsed by the EMA and FDA as a fit-for-purpose methodology for dose-finding studies in drug development. | 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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