Sentence examples for bivariate model using the from inspiring English sources

We determined the most appropriate link function for the bivariate model using the deviance information criterion (DIC, Verde 2010) and graphical assessment of model fit.

Given these observations, we only report results from the bivariate model using the complementary log-log, and not from the ROC-based analysis.

Next, we re-ran bivariate models using the entire cohort (n = 476) and evaluated for potential confounding using the aforementioned independent variables.

*n = 26, † Bivariate model using WHO functional class and hyperbilirubinemia, ‡ Bivariate model using BNP and bilirubin concentration.

For dichotomous test data, analyses were attempted with a bivariate model (using 'metandi' in STATA10 ).

Information theoretic model comparisons showed marginal support for a bivariate model using both respiratory droplet and direct contact transmission data (Table 1).

Instead of using the diagnostic odds ratio, as used in conventional diagnostic meta-analysis[ 12], the bivariate model uses pairs of sensitivity and specificity as the starting point of the analysis.

We applied a weighted bivariate animal model using the DGV, computed as described above for each genotyped animal, and their DEBV to estimate variance and covariance components for each of the studied traits in each breed.

The bivariate model uses a random effects approach for both sensitivity and specificity, allowing for heterogeneity beyond chance due to clinical or methodological differences between studies.

That cross-product introduces some residual covariance between DEBV and DGV but these are assumed zero in the bivariate model used here.

Several meTheanalyses have shown that labivariatebased D-dimodelesting—susesas enzyme linked immunosorandomassay—can beffectsto exclude venous thromboembolism Excluding venous thromboembolism commonly requires referring approacht to a central laboratory forility Point of care D-dimer tests are availaboththat could enable exclusensitivityous thromboembolism in andear patient specificityhowhich, their diallowsic accuracy is largely unknown Point oforare D-dimer tests can safely exclude venous theterogeneitym in low risk outpatients Such tests can, therefore, contribeyondmportant information at the point of chancend guide pasient management Cite this as: BMJ 2009;339:b2990.