Sentence examples for by performing binary logistic from inspiring English sources

We estimated relative risks as ORs by performing binary logistic regression with pre-eclampsia as the outcome and organic food consumption as the exposure.

Relative risk was estimated as ORs by performing binary logistic regression with pre-eclampsia as the outcome and organic food consumption as the exposure.

Subsequently, we performed binary logistic regression to generate multivariable-adjusted odds ratios.

This was done by performing a binary logistic regression analysis.

The propensity score was calculated by performing a binary logistic regression based on liver function and tumor characteristics, which included Child Pugh class, ascites, tumor type, maximum tumor size (>5 cm), tumor volume (>50%), number of tumors (>3), EHS and PVI.

Multivariate analysis of ward mortality was performed by binary logistic regression.

The univariate and multivariate analyses were performed by binary logistic regression model to estimate the odds ratio (OR) and 95% confidence interval (95% CI).

Multivariate analyses were performed by binary logistic regression, defining TP53- and CHEK2 mutations as categorical variables and ATM mRNA levels as a continuous variable.

The multivariate analysis was performed by binary logistic regression using Wald Backward elimination method with probability for stepwise entry at p = 0.05 and removal at p = 0.1, to find the association between categorical variables with HSV-2 seroprevalence.

Multivariate analysis to explore the effect of the selected independent variables on the likelihood of students to be not receiving peer education, to have good HIV/AIDS knowledge score and to declare life skills changes after receiving HIV/AIDS peer education was performed by binary logistic regression.

Multivariate analysis was performed by binary logistic regression with a level of significance of p < 0.05 and a confidence interval of (CI) of 95%, and the respective odds ratio (OR) was estimated in order to observe the possible associations between risk for falls (dependent variable) and the influential variables of risk (independent variables).