विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| मिलान की गई स्क्रीनिंग परीक्षण मूल्यांकन× | स्क्रीनिंग परीक्षण मूल्यांकन× | |
|---|---|---|
| क्षेत्र | महामारी विज्ञान | महामारी विज्ञान |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 1980s–2000s (formalized alongside diagnostic accuracy methodology) | 1968 (Wilson-Jungner principles); statistical framework developed 1970s–2000s |
| प्रवर्तक≠ | Methodological synthesis from matched case-control and diagnostic accuracy traditions (Pepe, Zhou, and others) | Wilson & Jungner (WHO criteria, 1968); foundational work by Pepe, Altman, and others in statistical test evaluation |
| प्रकार≠ | Observational diagnostic study with matched design | Observational diagnostic / epidemiological evaluation design |
| मौलिक स्रोत≠ | 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 ↗ |
| उपनाम | matched diagnostic accuracy study, paired screening evaluation, matched-pair test performance study, matched screening assessment | screening study, screening performance evaluation, screening accuracy assessment, STE |
| संबंधित | 6 | 6 |
| सारांश≠ | Matched screening test evaluation assesses the sensitivity, specificity, and predictive values of a screening or diagnostic test using a matched design, in which disease-positive cases are paired with one or more disease-free controls selected to share key characteristics such as age, sex, or clinical setting. Matching controls for confounders before measuring test performance produces more precise and less biased estimates of diagnostic accuracy, and enables direct paired comparisons of competing tests within the same subjects. | 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. |
| ScholarGateडेटासेट ↗ |
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