Sentence examples for multivariate analysis first from inspiring English sources

The multivariate analysis first followed a stepwise modeling strategy that relied on the hazard model.

For multivariate analysis, first a Cochran-Mantel-Haenszel summary statistic, controlling for age and socioeconomic status, was calculated for each risk factor examined in the survey (this was done because age and socioeconomic status were strongly associated with seropositivity).

With the use of multivariate analysis (first model), we identified the following significant independent risk factors for VAP (Table 4): ascending aorta surgery (OR = 6.22; 95% CI = 1.69 to 22.89), number of blood units transfused (OR = 1.08 per unit transfused; 95% CI = 1.04 to 1.13) and need for re-intervention (OR = 6.65; 95% CI = 2.10 to 21.01).

To exploit these differences in a multivariate analysis, we first excluded data from one subject and used activity patterns of the voxels from the remaining subjects, together with their score improvements, to train a support vector regression (SVR) algorithm [22], [23].

In the multivariate analysis, we first entered the RAVLT.

In the multivariate analysis, we first included sex (male or female) and age at recruitment (continuous).

Prognostic factors found to have strongest significance of a relation to survival according to the univariate analysis were entered into the multivariate analysis model first (Table 3).

In multivariate analysis, we first examined the independent associations of FVC and FEV1 and FEV1/FVC ratio with ever asthma, sex and atopy.

The Dukes stage of the colon cancer is a factor influencing outcome in multivariate analysis of first liver resection (Fong et al, 1999).

Accordingly, the stepwise multivariate analysis selected first the SEADL, followed by the CGI scales for disease severity and for dysautonomia, as strong predictors of survival.

For multivariate analyses of the association between medications used and specific causes of death, we performed a Cox proportional hazards multivariate analysis, after first confirming that the assumptions of the proportional hazards model were met.