Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Uchambuzi Ulioboreshwa wa Dozi-Majibu× | Tathmini ya Kipimo cha Kuchuja× | |
|---|---|---|
| Nyanja | Epidemiolojia | Epidemiolojia |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 2000s (key papers 2005–2007; ICH E4 guidance 1994 for classical dose-response) | 1968 (Wilson-Jungner principles); statistical framework developed 1970s–2000s |
| Mwanzilishi≠ | 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 |
| Aina≠ | Adaptive statistical design and analysis | Observational diagnostic / epidemiological evaluation design |
| Chanzo asilia≠ | 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 ↗ |
| Majina mbadala | adaptive DRA, adaptive dose-finding analysis, adaptive exposure-response analysis, adaptive D-R modeling | screening study, screening performance evaluation, screening accuracy assessment, STE |
| Zinazohusiana | 6 | 6 |
| Muhtasari≠ | 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. |
| ScholarGateSeti ya data ↗ |
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