Sentence examples for multivariate model defining from inspiring English sources

All covariates presented as crude ORs (Tables  1 and 2) were included into backwards-stepwise logistic regression to construct a multivariate model defining independent risk factors for poor HRQoL.

and histological prognostic factors in a multivariate model as defined in the first step.

The covariables of the multivariate models were defined a priori and were selected with the aim of adjusting for demographic factors and the durations of patient's health problems.

Covariables of multivariate models were defined a priori and were used to adjust for demographic factors of patients (age, gender and educational status) and for chronicity of health problems (coded as 0 for < 3 months and 1 for ≥ 3 months).

Candidate variables were entered into Multivariate Adaptive Regression Spline (MARS) models defining associations as a series of linear segments across ranges of the independent variables separated by thresholds (knots).

Multivariate models and well defined cohort studies adjusting for the effects of confounding factors are required to verify this hypothesis.

Application of the proposed approach to two DLBCL datasets led to identification of two gene subsets with several features overlapped, and further multivariate Cox proportional-hazards modelling defined JAW1 as one of the most significant predictors for the survival of the DLBCL patients in both cohorts.

Hence, the most adequate approach to define the multivariate model would be independent from the former, so disregarded variables could also be considered to complete the multivariate model.

In order to test whether differences in associations between the two causes of death were statistically significant, a further multivariate model including a dichotomous variable defining the death type was developed in which the outcome was mortality due to any known cause.

* Only predictor variables included in the final multivariate model are presented † Flare frequency defined as the number of flare periods reported by each participant, divided by the total number of questionnaires completed by the participant, and expressed as a percentage.

Table 4 lists mean ranges for GEDVI values calculated with the final multivariate model according to the age groups defined for univariate analysis.