Table 4 provides the results of the multi-variable analyses conducted on the PREDICT-D dataset.
Other background characteristics may also be used as covariates if large or statistically significant differences between initial treatment and wait-list control group participants are found for those variables in analyses conducted prior to any efficacy analyses.
Multiple variable analyses were conducted using stepwise standardized logistic regression (SLR) with odds ratios and 95% Confidence intervals (CI).
Method Two instrumental variable analyses were conducted to test the causal relationship between obesity and major depression in RADIANT, a large case-control study of major depression.
Chi square analyses conducted for categorical variables, one way ANOVAs conducted for continuous variables.
This included detailed qualitative analyses of interview data on researchers' perspectives, and quantitative analyses conducted for specific variables that were verified through bibliometric analysis of publications.
Detailed qualitative analyses were conducted for interview data on researchers' perspectives, and quantitative analyses conducted for specific variables that were verified through a bibliometric analysis of publications, and through independent panel assessment of policy and practice impacts.
Multiple-variable analyses were conducted using standard logistic regression with odds ratios (ORs) and 95% confidence intervals (CIs).
Due to the small number of patients relative to the large number of independent variables, analyses were conducted unadjusted, and adjusted for age and education only.
To investigate possible associations between 'advanced' and 'very advanced' paternal age respectively and all the descriptive variables, analyses were conducted in three steps.
Multi-variable analyses were conducted for the outcome of total costs using mixed effects regression models that controlled for age, diagnoses, therapy (allogeneic transplant, autologous transplant, chemotherapy, other diagnoses), and duration of antifungal prophylaxis.
