Sentence examples for using a bivariate meta-analysis from inspiring English sources
The diagnostic accuracy of presepsin in sepsis was calculated using a bivariate meta-analysis model.
The diagnostic meta-analysis was performed using a bivariate meta-analysis model [ 31] to calculate the pooled sensitivity, specificity, positive/negative likelihood ratios, and diagnostic odds ratio (DOR).
Meanwhile, the pooled sensitivity, specificity, PLR, NLR, and DOR were also calculated for each group by using a bivariate meta-analysis model.
We calculated the pooled sensitivity and specificity, positive and negative likelihood ratios, and the diagnostic OR of CRP, along with the respective 95% CIs, using a bivariate meta-analysis model.
We used a bivariate meta-analysis to derive the sensitivity and specificity of the alternative formal identification methods.
When the underlying genetic model is unknown, it is better to use pairwise comparisons of the 3 genotypes, and the loss of power may be limited through the use of a bivariate meta-analysis (17).
We have used genome-wide association in a bivariate meta-analysis of both traits to identify genes involved in determining reproductive lifespan.
We performed a bivariate meta-analysis using a linear mixed model approach to calculate summary estimates of sensitivity, specificity, positive likelihood ratio and negative likelihood ratio, and to fit a hierarchical summary receiver-operating characteristic (HSROC) curve.
Association of supply type with fecal contamination of source water and household stored drinking water in developing countries: a bivariate meta-analysis.
Where there was a strong and statistically significant prognostic association between a test and an outcome measure (defined by an OR > 5, with a 95% CI > 1), we went on to calculate sensitivity, specificity, and likelihood ratios, again using data from the 2 × 2 tables and synthesising predictive measures using a bivariate random-effects meta-analysis model.
We evaluated the relative performance of each identification method using bivariate meta-analysis, with the data used to inform the meta-analysis derived from several systematic searches of the literature.
