Sentence examples for multivariate model evaluating from inspiring English sources

Ordered logistic multivariate model evaluating analgesic treatment.

In the multivariate model evaluating the potential factors associated with the underuse of mammography, older age (age > 70; OR: 2.10; 95%CI: 1.62-2.74), patients with co-morbidities (OR: 1.26; 95%CI: 1.05-1.52) and hormonal therapy (OR: 1.51; 95%CI: 1.01-2.25).

In a multivariate model, evaluating all significant univariate predictors of mortality in the overall population such as AF (P < 0.001), diabetes (P = 0.004), BMI (P = 0.001), low MAP (P = 0.040), and poor NYHA functional class (P = 0.006) significantly predicted 1-year mortality.

Multivariate modeling evaluating classification of breast tumors arising in older women by oncogenic pathway clustering and important clinico-pathologic variables was additionally performed.

These studies have used different combinations of clinical and QoL factors in multivariate models evaluating the prognostic significance of each on clinical outcomes.

In separate multivariate models evaluating CRP and AGP as continuous covariates, neither of these inflammatory markers was independently associated with serum selenium (data not shown).

bIncludes handling raw meat, fruit, vegetables Final multivariate models evaluating the association of drinking water and travel to another country with cryptosporidiosis are presented in Table 4 for all controls and for the subset using only neighborhood controls.

For the multivariate models evaluating the association between product acceptability and use, we considered a set of baseline socio-demographic (e.g. age, education, marital status), clinical (i.e. baseline STI) and risk perception (e.g. impression of partner's fidelity) variables that could be associated with both acceptability and adherence and thus act as potential confounders.

Established prognostic variables were then added to the TIMI UA/NSTEMI multivariate model to evaluate their incremental benefit to model discrimination [11].

An additional strength is the study's inclusion of a multivariate model to evaluate potential predictors of treatment response.

Calibration of the SAPS3 scores and the multivariate model were evaluated using the Hosmer-Lemeshow test and a calibration plot.