Sentences with phrase «binary logistic regression analyses»

The participants were categorized as CI or BRI and referents, and binary logistic regression analysis was applied.

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The analysis was carried out using a logistic binary regression model, with PPH as the outcome variable and built using manual forward selection (with p < 0.05 as the cut - off).

It is an observational study involving secondary analysis of maternity records, using binary logistic regression modelling.

To investigate the relationship between learning styles, teacher demographics, and teacher retention, bivariate logistic regression analyses were conducted, and interactions between variables were tested for their predictive relationship with the binary outcome (retention).

To probe these findings further, we conducted a set of logistic regression analyses using teacher retention through Year 2 as our binary outcome.

Several analyses focused on missing data.36 To explore missing data patterns, we coded loss to follow - up as a binary variable and tested baseline variables as predictors using a stepwise logistic regression.

Similar to the ACE Study analyses, for each outcome variable, a binary logistic regression was applied to test the relationship of the adversity index score (0, 1, 2, 3, or ≥ 4) to the outcome, after entering the control variables (child's sex, child's race / ethnicity, caregiver's marital status, and family income).

Binary logistic regression was employed for multivariable analysis, as the dependent variable was dichotomous.

The ecological analyses employed logistic regression because sexual risk behavior was operationalized as a binary outcome.

Analyses were conducted using linear regression for continuous outcomes and binary logistic regression for categorical outcomes.