Sentence examples for multivariate model the from inspiring English sources

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In this multivariate model, the strongest independent predictors of survival were (in order of statistical significance) overall stage, patient age, vascular invasion, and SI score.

In a multivariate model, the most recent CD4 lymphocyte number, the number of different ARVs per year and having more than one hospitalisation remained predictive of death.

"Of 12 demographic and psychosocial factors that were examined in relation to antisocial behavior in a multivariate model," the study's authors write, "five factors were positively and significantly related to antisocial behavior: PTSD symptoms, deployment-related stressors, combat exposure, younger age, and being divorced.

Figure2 emphasizes the importance of using a multivariate model (the PC-based technique referenced in the previous section) to utilize information throughout the full spectrum in constructing the classification formula.

In a multivariate model, the adjusted odds ratios for HIV infection were 11.8 (confidence interval: 3.1 to 45.3) for concordance of infection with the co-twin, 2.8 (confidence interval: 1.6 to 5.0) for A versus B twins, and 2.7 (confidence interval: 1.1 to 6.6) for vaginally delivered versus cesarean-delivered twins.

In a multivariate model, the predictors (and relative risks) of any type of secondary cancer were acute graft-versus-host disease treated with either antithymocyte globulin (relative risk, 4.2) or an anti-CD3 monoclonal antibody (13.6) and total-body irradiation (3.9).

After running this data through a multivariate model, the authors were able to calculate the factors that best predicted whether a marriage would end in divorce.

However, for the multivariate model, the effect of household density was reversed and definitive conclusions could not easily be made.

For the first multivariate model the sex, age, area of living, education, marital status, physical exercise, alcohol use, and the BDI in addition to the GSS were entered as independent explanatory variables, whereas for the second multivariate model the GSS was replaced by the six items of which the GSS is comprised.

In the multivariate model, the prevalence of CIN2+ among women diagnosed with VIN and/or VaIN was almost three times greater when compared to those who did not have such co-morbidities.

On a preoperative multivariate model, the association between serum EPCA level and biochemical progression remained statistically significant (Table 3, P<0.001), and the HR was 4.860 (Table 3, 95%CI: 2.070 6.035) for pretreatment serum EPCA.

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