Factors associated with rapid adoption were examined using multivariate logistic regressions.
The pollution sources in the soil were examined using multivariate statistical analysis and Pb-Sr isotope tracing technology.
The effect of gender, age, insurance status, and need for reoperation on postoperative mortality was examined using multivariate logistic regression accounting for the NIS stratified sampling design and using comorbidity adjustments appropriate for index hospitalization data.
Relationships between algal metrics and both water quality (e.g., nutrients, ionic properties, physicochemical parameters) and landscape-scale stressor data (e.g., proportions watershed with agriculture and urban development, impoundment, pollution point-sources) were examined using multivariate analyses.
Associations for potential explanatory variables (Table 1) with substance use disorders were examined using multivariate logistic regression analysis.
Differences among groups in BPASS scores in the four assessed domains (social motivation, conversational skills, expressiveness, and restricted interests) were examined using multivariate ANOVA and post hoc comparisons.
The relationships between total cost and operative time and multiple variables, including fracture severity, patient age, gender, comorbidities, use of bone graft, concurrent carpal tunnel release, and surgeon experience, were examined, using multivariate analysis and regression modeling to identify other cost drivers or explanatory variables.
The independent associations were examined using multivariate analysis.
The relationship between metabolic syndrome and hs-CRP was examined using multivariate logistic regression analysis.
The association was examined using multivariate logistic regressions, taking into account women's socio-demographic characteristics.
