เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การศึกษาความแม่นยำในการวินิจฉัยแบบเบย์ (Bayesian Diagnostic Accuracy Study)× | การประเมินการทดสอบคัดกรอง× | |
|---|---|---|
| สาขาวิชา | ระบาดวิทยา | ระบาดวิทยา |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 1995–2001 | 1968 (Wilson-Jungner principles); statistical framework developed 1970s–2000s |
| ผู้ริเริ่ม≠ | Joseph, Gyorkos & Coupal; Dendukuri & Joseph (formal Bayesian DTA framework) | Wilson & Jungner (WHO criteria, 1968); foundational work by Pepe, Altman, and others in statistical test evaluation |
| ประเภท≠ | Bayesian inferential study design | Observational diagnostic / epidemiological evaluation design |
| แหล่งต้นตำรับ≠ | Dendukuri, N., & Joseph, L. (2001). Bayesian approaches to modeling the conditional dependence between multiple diagnostic tests. Biometrics, 57(1), 158–167. DOI ↗ | Wilson, J. M. G., & Jungner, G. (1968). Principles and Practice of Screening for Disease. World Health Organization. Public Health Papers No. 34. link ↗ |
| ชื่อเรียกอื่น | Bayesian DTA study, Bayesian test evaluation, Bayesian diagnostic test accuracy, BDAS | screening study, screening performance evaluation, screening accuracy assessment, STE |
| ที่เกี่ยวข้อง | 6 | 6 |
| สรุป≠ | A Bayesian diagnostic accuracy study evaluates how well a medical test distinguishes between people who have a condition and those who do not, using Bayesian statistical methods that formally incorporate prior knowledge into the estimation of sensitivity, specificity, and related measures. Unlike classical approaches that rely solely on the observed sample, Bayesian inference combines a likelihood model of the data with prior probability distributions to produce posterior estimates with intuitive credible intervals. | 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. |
| ScholarGateชุดข้อมูล ↗ |
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