摘要
目的:介绍利用SAS软件PROC MCMC过程步实现诊断性试验的贝叶斯Meta分析。方法:利用Menke编制的基于SAS PROC MCMC过程步的Meta分析代码,以高分辨率超声诊断颞下颌关节盘前移位准确度的研究作为示例,介绍诊断性试验的贝叶斯Meta分析实施方法。结果:基于实例数据,本文给出了贝叶斯固定效应模型和随机效应模型Meta分析结果。随机效应分析结果显示:高分辨率超声诊断可复性盘前移位的合并敏感度0.852(95%CI:0.766~0.924),合并特异度0.865(95%CI=0.760:0.944),诊断比值比DOR 53.413(95%CI:11.855~170.4)。结论:SAS PROC MCMC是实现敏感性和特异性的双变量随机效应贝叶斯Meta分析的优秀方法。
Objective :To introduce the Bayesian meta-analysis of the diagnostic test using the SAC software PROC MCMC program. Methods :Meta-analysis code based on SAS PROC MCMC program prepared by Menke J was used and the study on the accuracy of high-resolution ultrasound diagnosis of anterior disc displacement of temporomandibular joint published by Dong Xiaoyu et al. was selected as an example data. Bayesian meta-analysis implementation method for diagnostic test was introduced. Results :Based on the example data, the results of Bayesian fixed effect model and random effect model meta-analysis were given. The results of random effects analysis showed that the combined sensitivity, specificity, diagnostic Odds Ratio (DOR)of high-resolution ultrasound diagnosis for anterior disc displacement with reduction (ADDWR) were 0.852 (95%CI: 0.766-0.924), 0.865 (95%CI: 0.760-0.944), 53.413 (95%CI: 11.855-170.4) respectively. Conclusion :SAS PROC MCMC was an excellent method for achieving bivariate random effects Bayesian meta-analysis of sensitivity and specificity.
作者
许佩华
郑建清
XU Pei-hua;ZHENG Jian-qing(Department of Radiation Oncology,The Second Affiliated Hospital of Fujian Medical University,Quanzhou 362000,China)
出处
《中国循证儿科杂志》
CSCD
北大核心
2019年第3期205-211,共7页
Chinese Journal of Evidence Based Pediatrics
基金
福建医科大学附属第二医院苗圃基金:2017MP04