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Sensitivity and specificity of estimates to identify patients with reduced (<60 mL/min/1.73 m) or augmented (>130 mL/min/1.73 m) CLCR were calculated.
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The sensitivity and specificity of estimated against measured sodium excretion were separately assessed by two cut-off points (>170 and >100 mEq/day, respectively).
Finally, the sensitivity and specificity of estimated sodium excretion were analyzed in relationship to measured sodium excretion with two cut-off points (>170 and >100 mEq/day).
To analyze the sensitivity and specificity of estimated sodium excretion in relationship to measured sodium excretion, receiver-operating characteristic (ROC) curves were generated, including area under the curve (AUC) and their 95% confidence intervals (CI).
Performance of equation was estimated by median bias, interquartile range (IQR), proportion of estimates within 30% deviation of measured sodium excretion (P30) and root mean square error (RMSE .The sensitivity and specificity of estimated against measured sodium excretion were separately assessed by receiver-operating characteristic (ROC) curves.
Receiver operating characteristic (ROC) analysis of the sensitivity and specificity of these estimates was performed using STATA 7.0 (College Station, TX, USA).
The forest plot for this test reveals greater heterogeneity for estimates of specificity versus estimates of sensitivity (figure 11).
To estimate the sensitivity and specificity of the various estimates, we used Bayesian latent class models.
A combination of both factors increases specificity of the IVH estimate.
The sensitivity and specificity of detection were estimated using artemisinin, two related artemisinin derivatives, DHA and artesunate (ATS), as well as amodiaquine, a quinoline anti-malarial compound.
Specificity of amplification was estimated by analyzing melting-temperature curves.
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