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应用Empower Stats软件实现诊断准确性试验的Meta分析 被引量:4

Realization of Meta-analysis of diagnostic test accuracy(DTA) by using EmpowerStats software
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摘要 Empower Stats软件是一款基于R语言进行数据分析的统计软件。该软件具有快速实现分析思路、全面的分析功能、直观的数据、强大的数据预处理功能、快速分享分析结果等特点。无需编程,就能运用R程序进行数据管理、处理和分析,功能强大而操作简便,所以该软件广为科研统计者所青睐。但其缺陷在于对诊断准确性试验的Meta分析不能直接得出敏感度、特异度的似然比,本文将以实例的形式系统展示Empower Stats软件用于实现诊断准确性试验Meta分析的两项模块:随机(混合)效应模型Meta分析和根据敏感度特异度生成SROC曲线。 Empower Stats software is a statistics software based on R language to realize data analysis. This software possesses the features of quickly accomplishing thinking of analysis, comprehensive function, intuitive data, powerful data preprocessing function and rapidly sharing the results. Without programming, R program can be used for data management, processing and analysis, and it is powerful and easy to operate, so the software is widely favored by scientific researchers. However, it doesn’t provide straightforward likelihood ratio of sensitivity and specificity in the Meta-analysis of diagnostic test accuracy (DTA). In the article, two modules of using EmpowerStats software to realize the Meta-analysis of DTA were systematically displayed with examples including random (mixed) effective model Meta-analysis and creating ROC curve according to sensitivity and specificity.
作者 陶圆 刘俊华 何倩 喻亚宇 许杨鹏 张超 田国祥 牛玉明 TAO Yuan;LIU Jun-hua;HE Qian;YU Ya-yu;XU Yang-peng;ZHANG Chao;TIAN Guo-xiang;NIU Yu-ming(Center for Evidence-Based Medicine and Clinical Research, Taihe Hospital, Hubei University of Medicine, Shiyan 442000, China)
出处 《中国循证心血管医学杂志》 2016年第8期907-910,共4页 Chinese Journal of Evidence-Based Cardiovascular Medicine
基金 湖北省教育厅重点项目(D20142102)
关键词 EmpowerStats软件 诊断准确性试验 META分析 EmpowerStats software Diagnostic test accuracy Meta-analysis
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参考文献13

  • 1Dimou NL,Adam M,Bagos PG. A multivariate method for metaanalysisandcomparison of diagnostic tests[J]. Statist Med,2016.
  • 2Gopalakrishna G,Mustafa RA,Davenport C,et al. Applying Grading ofRecommendations Assessment, Development and Evaluation (GRADE)to diagnostic tests was challenging but doable[J]. J Clin Epidemiol,2014,67(7):760-8.
  • 3Doebler P,Holling H,Bohning D. A Mixed Model Approach to Meta-Analysis of Diagnostic Studies With Binary Test Outcome[J]. PsycholMethods,2012,17(3):418-36.
  • 4Naaktgeboren CA,Ochodo EA,Van Enst WA,et al. Assessing variabilityin results in systematic reviews of diagnostic studies[J]. BMC Med ResMethodol,2016,16:6.
  • 5Arevalo-Rodriguez I,Segura O,Solà I,et al. Diagnostic tools foralzheimer’s disease dementia and other dementias: an overviewof diagnostic test accuracy (DTA) systematic reviews[J]. BMCNeurol,2014,14:183.
  • 6Massanes F,Brankov JG. Full receiver operating characteristic curveestimation using two alternative forced choice studies[J]. J Med Imaging(Bellingham),2016,3(1):011010.
  • 7Campbell JM,Klugar M,Ding S,et al. Diagnostic test accuracy: methodsfor systematic review and meta-analysis[J]. Int J Evid Based Healthc,2015,13(3):154-62.
  • 8Sotiriadis A,Papatheodorou SI,Martins WP. Synthesizing Evidencefrom Diagnostic Accuracy TEsts:the SEDATE guideline[J]. UltrasoundObstet Gynecol,2016,47(3):386-95.
  • 9Enst WA,Naaktgeboren CA,Ochodo EA,et al. Small-study effectsand time trends in diagnostic test accuracy meta-analyses: a metaepidemiologicalstudy[J]. Syst Rev,2015,4:66.
  • 10Lee J,Kim KW,Choi SH,et al. Systematic Review and Meta-Analysis ofStudies Evaluating Diagnostic Test Accuracy: A Practical Review forClinical Researchers-Part II. Statistical Methods of Meta-Analysis[J].Korean J Radiol,2015,16(6): 1188-96.

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