So sánh phương pháp
Xem các phương pháp đã chọn cạnh nhau; những hàng khác biệt được làm nổi bật.
| Nghiên cứu độ chính xác chẩn đoán theo phương pháp Bayes× | Nghiên cứu tổng hợp-phân tích độ chính xác chẩn đoán× | |
|---|---|---|
| Lĩnh vực | Dịch tễ học | Dịch tễ học |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | 1995–2001 | 1993–2005 (foundational models) |
| Người khởi xướng≠ | Joseph, Gyorkos & Coupal; Dendukuri & Joseph (formal Bayesian DTA framework) | Moses, Shapiro & Littenberg (SROC framework, 1993); Reitsma et al. (bivariate model, 2005) |
| Loại≠ | Bayesian inferential study design | Quantitative systematic synthesis |
| Công trình gốc≠ | Dendukuri, N., & Joseph, L. (2001). Bayesian approaches to modeling the conditional dependence between multiple diagnostic tests. Biometrics, 57(1), 158–167. DOI ↗ | Reitsma, J. B., Glas, A. S., Rutjes, A. W., Scholten, R. J., Bossuyt, P. M., & Zwinderman, A. H. (2005). Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews. Journal of Clinical Epidemiology, 58(10), 982–990. DOI ↗ |
| Tên gọi khác | Bayesian DTA study, Bayesian test evaluation, Bayesian diagnostic test accuracy, BDAS | DTA meta-analysis, diagnostic meta-analysis, systematic review of diagnostic accuracy, pooled diagnostic accuracy |
| Liên quan≠ | 6 | 2 |
| Tóm tắt≠ | 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. | A meta-analytic diagnostic accuracy study systematically identifies and pools sensitivity and specificity data from multiple primary diagnostic test accuracy studies. Using the bivariate or hierarchical summary ROC (HSROC) model, it produces a joint summary of a test's ability to correctly classify diseased and non-diseased individuals across diverse clinical settings, accounting for the inherent trade-off between sensitivity and specificity. |
| ScholarGateBộ dữ liệu ↗ |
|
|