WinBUGS软件实现诊断准确性试验Meta分析
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摘要
WinBUGS软件是一款基于Bayesian理论而研发的统计软件,因其具有直接准确的定位样本分布、结果解释更加可靠等优点,再结合WinBUGS软件全编程语言的灵活性的特点,使得其在各种数据统计分析中应用较为广泛。在诊断准确性试验Meta分析中同样适用,但其缺点在于无法独立绘制敏感度和特异度森林图和综合受试者工作特征曲线。本文以一组诊断准确性试验数据为例,展示WinBUGS软件完成诊断准确性试验Meta分析的操作过程。
WinBUGS software based on Bayesian theory is developed for statistics. It can locate sample distribution directly and precisely and the result can be explained more reliably. Because of those advantages combined with the flexibility of whole programming language, Win BUGS software is broadly applied to various statistics analyses. It is always used for diagnostic test accuracy(DTA) similarly, but it can't draw forest plots for sensitivity and specificity. The procedure of accomplishment of DTA Meta-analysis using Win BUGS software was displayed taken a group of DTA Meta-analysis data as example in this article.
WinBUGS software based on Bayesian theory is developed for statistics. It can locate sample distribution directly and precisely and the result can be explained more reliably. Because of those advantages combined with the flexibility of whole programming language, Win BUGS software is broadly applied to various statistics analyses. It is always used for diagnostic test accuracy(DTA) similarly, but it can't draw forest plots for sensitivity and specificity. The procedure of accomplishment of DTA Meta-analysis using Win BUGS software was displayed taken a group of DTA Meta-analysis data as example in this article.
引文
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[13]Yu J,Yang L,Vexler A,et al.Easy and accurate variance estimation of the nonparametric estimator of the partial area under the ROC curve and its application[J].Stat Med,2016,35(13):2251-82.
[14]Luo X,Willse JT.A Dual-Purpose Rasch Model with Joint Maximum Likelihood Estimation[J].Stat Methods Med Res,2015,16(3):298-314.
[15]Hamza TH,Reitsma JB,Stijnen T.Meta-analysis of diagnostic studies:a comparison of random intercept,normal-normal,and binomialnormal bivariate summary ROC approaches[J].Med Decis Making,2008,28(5):639-49.
[16]王权,何倩,吴君怡,等.应用R软件bamdit程序包实现诊断准确性试验的Meta分析[J].中国循证心血管杂志,2016,8(3):260-72.[1 7]王权,杨廉洁,何倩,等.应用R软件m e t a m i s c程序包及Copula REMADA程序包实现诊断准确性试验的Meta分析[J].中国循证心血管杂志,2016,8(4):392-5.
[2]Cipoli DE,Martinez EZ,Castro Md,et al.Clinical judgment to estimate pretest probability in the diagnosis of Cushing's syndrome under a Bayesian perspective[J].Arq Bras Endocrinol Metabol,2012,56(9):633-7.
[3]Lim C,Wannapinij P,White L,et al.Using a web-based application to define the accuracy of diagnostic tests when the gold standard is imperfect[J].PLo S One,2013,8(11):e79489.
[4]Walusimbi S,Bwanga F,De Costa A,et al.Meta-analysis to compare the accuracy of Gene Xpert,MODS and the WHO 2007 algorithm for diagnosis of smear-negative pulmonary tuberculosis[J].BMC Infect Dis,2013,13:507.
[5]Leeflang MM.Systematic reviews and meta-analyses of diagnostic test accuracy[J].Clin Microbiol Infect,2014,20(2):105-13.
[6]何倩,王晓娜,喻亚宇,等.应用R软件meta4diag程序包实现诊断准确性试验的Meta分析[J].中国循证心血管杂志,2016,8(2):138-41.
[7]Menke J.Bivariate random-effects meta-analysis of sensitivity and specificity with the Bayesian SAS PROC MCMC:methodology and empirical evaluation in 50 meta-analyses[J].Med Decis Making,2013,33(5):692-701.
[8]Kuss O,Hoyer A,Solms A.Meta-analysis for diagnostic accuracy studies:a new statistical model using beta-binomial distributions and bivariate copulas[J].Statist Med,2014,33(1):17-30.
[9]Giavarina D.Tools for critical appraisal of evidence in studies of diagnostic accuracy[J].Autoimmun Rev,2012,12(2):89-96.
[10]Zhou Y,Dendukuri N.Statistics for quantifying heterogeneity in univariate and bivariate meta-analyses of binary data:the case of meta-analyses of diagnostic accuracy[J].Stat Med,2014,33(16):2701-17.
[11]Valle D,Lima JM,Millar J,et al.Bias in logistic regression due to imperfect diagnostic test results and practical correction approaches[J].Malar J,2015,14:434.
[12]Lee J,Kim KW,Choi SH,et al.Systematic Review and MetaAnalysis of Studies Evaluating Diagnostic Test Accuracy:A Practical Reviewfor Clinical Researchers Part II.Statistical Methods of MetaAnalysis[J].Korean J Radiol,2015,16(6):1188-96.
[13]Yu J,Yang L,Vexler A,et al.Easy and accurate variance estimation of the nonparametric estimator of the partial area under the ROC curve and its application[J].Stat Med,2016,35(13):2251-82.
[14]Luo X,Willse JT.A Dual-Purpose Rasch Model with Joint Maximum Likelihood Estimation[J].Stat Methods Med Res,2015,16(3):298-314.
[15]Hamza TH,Reitsma JB,Stijnen T.Meta-analysis of diagnostic studies:a comparison of random intercept,normal-normal,and binomialnormal bivariate summary ROC approaches[J].Med Decis Making,2008,28(5):639-49.
[16]王权,何倩,吴君怡,等.应用R软件bamdit程序包实现诊断准确性试验的Meta分析[J].中国循证心血管杂志,2016,8(3):260-72.[1 7]王权,杨廉洁,何倩,等.应用R软件m e t a m i s c程序包及Copula REMADA程序包实现诊断准确性试验的Meta分析[J].中国循证心血管杂志,2016,8(4):392-5.