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As shown in Fig. 2a, the ROC AUC of the multivariate model described above performed significantly better than the same model without I/T-G in predicting the neurological outcome at hospital discharge (ROC AUC, 0.83 vs. 0.78; P = 0.04).
Let B denote the 105 × 421 table of miRNA coefficients found in Oslo2 with either the univariate or the multivariate model described above.
Due to this limitation, the clinical characteristics and the multivariate model described in this study should be validated in an external primary-care cohort.
Including high- and low-risk genotype classes and pancreatic insufficiency in the multivariate model described above did not render insignificant any factor or change the HR for death associated with diabetes.
The fit for all ACTG studies and excluding substudies is presented in figures 3 and 4. When the training model based on the first 32 quarters was assessed (table 2), the coefficients were largely similar to the final multivariate model described above.
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We develop a regionally specific, multivariate model describing habitat selection that can be used – when linked to an institutional forest inventory program – to assess, monitor and forecast habitat conditions for a key wildlife species.
To create a multivariate model describing the risk for lymph node metastases, additional clinical parameters were investigated by univariate analysis.
The moderate discriminative value (AUC = 0.69) of the multivariate model describing factors associated with precautionary behaviour however suggests that other, unmeasured factors may be of additional importance.
In order to create a multivariate model describing the risk for LNM, univariate and multivariate logistic regression analyses were performed with respect to gender, age, tumor size, differentiation status, as well as 11q13.3-q13.4 splitting and amplification.
Explanatory variables with P ≤ 0.1 were selected as potential confounding factors in the final multivariate models, described below as a logistic regression model.
This analysis used the same multivariate modeling described earlier for mortality, LOS, and costs, using only the subset of patients with a live discharge from the index hospitalization.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com