Sentence examples for by using multivariate logistic from inspiring English sources

By using multivariate logistic and stepwise regression analysis, the 9-SNP panel was examined in combination with the pre-stipulated clinical variables above.

ORs with 95% confidence intervals were calculated by using multivariate logistic regression models to estimate the relative risk of sepsis.

Though these studies tried to adjust the confounders by using multivariate logistic regressions, there are still residual confounding factors [ 39].

The association of clinical features to predict HFSR was quantified by using multivariate logistic regression models where the corresponding odds ratios were tested by the Wald test.

For the purpose of affirming the significant effects of gender on mortality, study results were analyzed by using multivariate logistic regression methods.

20 We will start off by estimating the propensity score, which is the conditional probability of each patient enrolling into the programme given their baseline characteristics, by using multivariate logistic regression.

We assessed the associations between the mothers' demographics (independent variables) and their preferences by using multivariate logistic-regression models to calculate odds ratios (ORs) and 95% CIs.

Socio-demographic characteristics and individual health conditions were compared by SMI status using multivariate logistic regression or with ordered logistic regression analyses (BMI and smoking).

Unadjusted estimates of risk associated with self-reported intellectual impairments (odds ratios) are presented followed by estimates adjusted (using multivariate logistic regression) for between-group differences in: (1) age and gender; and (2) age, gender, material hardship and self-assessed financial status.

Several studies examined risk factors for mortality following THR by controlling for confounding variables using multivariate logistic regression analyses.

Since poor fit may be explained by substantial differences in the study populations, predictors identified by the two scores were recalibrated using multivariate logistic regression analyses.