Sentence examples for multivariate model does from inspiring English sources

The multivariate model does not appear to have been considered elsewhere in an RR setting; it is shown how a Fisher scoring algorithm can be used to take the RR aspect into account.

Most importantly, this significance testing approach within the multivariate model does not provide any information on prediction accuracy, an aspect that is considered in the next section.

If adding a new covariate to a given multivariate model does not lead to a reduction in deviance, its inclusion has little benefit because it does not decrease the discrepancy between the model and the data.

Although the TIMI UA/NSTEMI multivariate model did not calibrate well (Figure S3B, Table 6), it too displayed a marked improvement in discrimination (C = 0.70, 95% CI: 0.66 0.74; Figure S4B) as compared to the corresponding risk score (C = 0.56, Figure 1B); however, it was significantly inferior to the GRACE 6-month multivariate model (0.84, 95% CI: 0.81 0.87; p<0.81 0.87

Further, adding race to the multivariate model did not modify the observed associations.

Further adjustment for rs4646 in the multivariate model did not alter the results.

Adding gestational length to the multivariate model did not significantly change the result for di- ortho PCBs (Table  3).

Inclusion of pCR in the multivariate model did not change the capacity of T-bet expression to predict RFS.

Furthermore, addition of glucose tolerance status to the multivariate model did not improve its predictive power (19).

Given that these indices are components of IQ, this multivariate model did not include IQ as a covariate.

Interestingly, the association of these three genes in a multivariate model did not enhance diagnostic efficacy (data not shown).