The multiple model remained significantly associated with collective empowerment: to be Catholic, do plenty physical activity, do not ingest alcoholic beverage or just a little, and higher overall quality of life (Table 5).> -wrap-foot> aResults of binary logistic regression analyzes.
Binary logistic regression is analyzed for the crucial regression models.
Therefore we used binary logistic regression to analyze the expression of biomarkers on BXs in connection with gender, patient age, location of tumor and histological subtype to determine the predictive value on tumor response.
For the 2013 group and a combination of both the 2006 and 2013 groups, we used Mann–Whitney, Chi Square, and Binary Logistic Regression to analyze CAM use by maternal factors including age, race/ethnicity, country of origin, previous pregnancy, use of a midwife, public insurance, employment outside of the home, marital status, any college education, and mode of delivery.
Final models using binary logistic regression for analyzing betel-nut and cigarette consumption were chosen, based on likely and relevant confounders after univariate analysis (candidate correlates were excluded from the final analyses if p > 0.05 in the univariate analysis with outcome variable).
We used binary logistic regression models to analyze associations between caregiving, gender, age, education level, financial status, social support, long-term illness and SRH or psychological wellbeing.
For analyses of subjects with a rare CFI genetic variant, we used binary logistic regression analysis to analyze the association between a subject's AAMD status and serum FI, controlling for age at blood sample collection, gender, smoking and BMI status.
Binary logistic regression was computed to analyze the effect of each study variable on the outcome variable.
Frequencies and binary logistic regression was used to analyze the impact of different factors, including participation in entrepreneurship education, for entrepreneurial intentions.
Ordinal and binary logistic regression was used to analyze the cross-sectional data.
