These exploratory statistics establish correlations between height, weight, gender, total tibial plateau width, and meniscal size.
Customers in each group resulted to be also similar with respect to their age, gender, total expenditure, etc.
The consistency of the abovementioned prescribing patterns was further confirmed using a multivariate logistic regression model, controlling for onset age, age of enrollment, illness duration, gender, total social outcome, and diagnostic subtype.
Further, multivariate logistic regression modeling was used to assess the differential rates of psychotropic medication usage by subtype (mood stabilizer, antipsychotic, antidepressant, benzodiazepine/hypnotic, and other medication) across nationalities, controlling for onset age, age at enrollment, illness duration, gender, total social outcome, and diagnostic subtype.
The calculator's individualized estimates were based on age, gender, total cholesterol, blood pressure and smoking history, among other variables.
All Multiple Regression analysis included Maternal BMI, Group, Gender, Total Gestation and Maternal Education Level of achievement as Enter variables.
Groups were of mixed gender, totalling 30 girls and 26 boys.
There were no significant differences between the two genders' total use of BP- and cholesterol lowering drugs, whereas a low formal education correlated with more use.
The highest proportion of missing educational data (both genders, total) was 2.6% in 1969 and 1970 (Additional file 1: Table A1).
Findings from another post-hoc model [i.e., preference for the reusable pen vs. (preference for the disposable pen + no preference) = age + gender + total IPAQ score] indicate that neither total IPAQ score, age nor gender predict preference for the reusable pen.
However, even if gender and total working experience are combined, the odds ratio does not change (odds ratio for total working experience remains 1.25) and as such gender cannot be considered a risk factor.
