Sentence examples for binary logistic regression and from inspiring English sources
Multivariate, binary logistic regression and χ2 analysis were used to examine relationships between available medical and sociodemographic index values and composite birth outcomes among Hispanic women.
Sze and Wong [14] used binary logistic regression and logistic regression diagnostics to control for the influences of demographics and the road environment.
Binary logistic regression and ANOVA were computed to determine predictors influencing primary outcome, which was defined as a reduction of ≥50% in headache days per month resulting in odds ratios (OR) with 95% confidence intervals (CI).
We formulated our model based on 11 preselected variables using binary logistic regression and evaluated the strength of support for each model (relative to all other models) using the second order model selection criterion AICc.
Both binary logistic regression and signal-detection theory were used to analyse response probabilities.
Ordinal logistic regression analysis is an extension of a binary logistic regression, and allows for modeling of polytomous ordinal responses on a set of predictors.
Binary logistic regressions and multivariate linear regression were used to identify the independent risk factors for the occurrence of depression and severe state of depression, respectively.
The data was analyzed using three methods: a correlation matrix, binary logistic regressions and a structural equation modeling approach (SEM), for which a theoretical framework was constructed.
In the categorical analyses (chi-square and binary logistic regression) borderline and antisocial traits were coded as present if two or more features of the disorder were endorsed.
This section presents the analyses of the binary logistic regression model and explains the socioeconomic, physical, and institutional factors affecting farmers' participation in watershed management programs (Table 3).
Statistics were performed using binary logistic regression analyses and negative binomial regression analyses, adjusting for age, gender and comorbidity.
