Application of Bivariate Analysis of Sensitivity and Specificity in Meta-Analysis
10.3870/j.issn.1672-0741.2010.01.019
- VernacularTitle:双变量模型在诊断试验Meta分析中的应用
- Author:
Huiping ZHU
;
Long FANG
;
Xin XIA
;
Gaiyi LIN
;
Chuanhua YU
- Publication Type:Journal Article
- Keywords:
diagnostic accuracy;
sensitivity and specificity;
Meta-analysis;
random effect model
- From:
Acta Medicinae Universitatis Scientiae et Technologiae Huazhong
2010;39(1):78-81
- CountryChina
- Language:Chinese
-
Abstract:
Objective To illustrate the evaluation effect of bivariate analysis of sensitivity and specificity meta-analysis model in diagnosis test to provide basis for selecting better evaluation method of diagnostic test.Methods Bivariate model was presented by reanalyzing the data from a published meta-analysis of two diagnostic techniques in diagnosis of schistosomiasis japonica.Results The bivariate model could directly provide summary estimates of(logit)sensitivity,specificity and DOR with corresponding 95% CI for two diagnostic tests(IHA and ELISA).Also,it could elicit any significant difference that existed among sensitivity,specificity and DOR between the two diagnostic methods,and incorporate any correlation that existed between sensitivity;specificity.Conclusion The bivariate model preserves the two dimensional nature of the original data,and separates effects of sensitivity and specificity,which is more rational than a net effect on diagnostic odds ratio scale as in SROC approach.The bivariate model is appropriate and agile,and can be used as an extension and improvement of the traditional SROC method.
