方法对比

	贝叶斯诊断准确性研究	筛查试验评估
领域	流行病学	流行病学
方法族	Process / pipeline	Process / pipeline
起源年份	1995–2001	1968 (Wilson-Jungner principles); statistical framework developed 1970s–2000s
提出者	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
类型	Bayesian inferential study design	Observational diagnostic / epidemiological evaluation design
开创性文献	Dendukuri, N., & Joseph, L. (2001). Bayesian approaches to modeling the conditional dependence between multiple diagnostic tests. Biometrics, 57(1), 158–167.	Wilson, J. M. G., & Jungner, G. (1968). Principles and Practice of Screening for Disease. World Health Organization. Public Health Papers No. 34.
别名	Bayesian DTA study, Bayesian test evaluation, Bayesian diagnostic test accuracy, BDAS	screening study, screening performance evaluation, screening accuracy assessment, STE
相关	6	6
摘要	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.