Sentence examples for bivariate method and the from inspiring English sources

The impact of selected socio demographic and other characteristics on knowledge of cervical cancer was investigated using both the bivariate method and the multivariate logistic regression technique.

Bivariate methods and multivariable logistic regression were conducted to examine potential risk factors, comparing deaths from falciparum malaria with the denominator of all imported falciparum malaria cases to identify risk factors for case fatality.

If large enough groups of sufficiently comparable studies with complete two-by-two tables were available, estimates for sensitivity and specificity were pooled using the bivariate method recommended in the Cochrane Handbook for Systematic Reviews of Diagnostic Accuracy.

The bivariate method extends the univariate model by relating the pairwise genetic similarity matrix to a phenotypic covariance matrix between traits 1 and 2 (Lee et al. 2012).

Among the three bivariate methods, the proposed one has the highest power under all the parameter settings.

In this paper two hypothesis-test-based change detection methods, namely the bivariate joint distribution method and the conditional distribution method, are proposed to tackle the uncertainties in change detection by making decisions based on the desired level of significance.

We used bivariate methods including the t-test and chi-square statistic to compare the demographic characteristics of patients admitted to FP, NFP, and government owned hospitals for each of the three patient cohorts.

The bivariate method uses logistic regression on the true positives, true negatives, false positives, and false negatives reported in the studies.

Statistical rigour in itself may not be a sufficient argument for advocating uptake of the new bivariate methods; particularly, if the summary estimates generated are not significantly different from those derived from simpler univariate methods.

Those bivariate methods allow the estimation of the functional connectivity among a larger number of cortical signals.

In addition, bivariate meta-analysis is recommended for DTA meta-analyses [ 13] but bivariate methods for the detection of publication bias are currently not available.