Sentence examples for using univariate logistic modelling from inspiring English sources

Factors that were not significant in either cohort using univariate logistic modelling were excluded from the multivariate analysis.

Data was first analyzed by using univariate logistic models between the dependent variable and each independent variable.

By using univariate logistic regression model, associations between all above-mentioned variables and CS were displayed.

Data are provided as n, multiple citations possible; all parameters were tested using univariate logistic regression models.

Patient characteristics predicting performance of each care measure by resident and faculty physicians were also evaluated using univariate logistic regression models.

Possible predictors of cortical hand bone loss were also examined using univariate logistic regression models with loss in cortical hand bone exceeding LSC as the dependent variable.

The associations of recorded patient characteristics with plaque were first assessed using univariate logistic regression models; characteristics that were found to be related to atherosclerosis were subsequently entered in a multivariable stepwise backward conditional logistic regression model.

All outcomes were analysed using univariate logistic regression models, except for congenital malformations in which we carried out Fisher's exact test because of the low number of events.

not significant; # n = 58 (seven patients did not tolerate manometry), + n = 129 (one patient did not tolerate manometry), p p-value; all parameters were tested using univariate logistic regression models.

Associations between potential exposure variables and the four measures of LBP prevalence were tested using univariate logistic regression models, reporting the associations as odds ratios and 95%CI.

Data were analyzed by using univariate logistic regression models with calculation of odds ratios (OR) and 95% confidence intervals (CI) by using SAS software (Version 6.12, SAS Institute, Cary, NC); p values <0.05 were considered statistically significant, and all are two-sided.