The best multivariate model identified the two following factors: concomitant drug burden (odds ratio (OR)=1.653, 95% confidence interval (CI), 1.105 2.472) and time between CCyR and adherence evaluation (OR=0.857, 95% CI, 0.748 0.983).
The final multivariate model identified concomitant drug burden, greater level of social support and satisfaction with information received (on the impact of therapy on one's QoL) as independent factors associated with optimal adherence (Table 4).
The final multivariate model identified four factors associated with syphilis infection: older age (OR: 1.8, 95% CI: 1.2-2.9 1.2-2.9yemployednnan province (OR: 2.1, 95% CI: 1.2-3.6), soliciting in self-rented rooms and "market daYunnanldings (OR: 2.3, 95% CI: 1.4-3.7), and no consistent condom use with clients in the provincedays (OR: 1.6, 95% CI: 1.0-2.1).
The multivariate model identified the following as being significantly more likely to have been tested for coccidioidomycosis: adult patients (adjusted OR 5.3, 95% CI 1.5 24.0) and those who reported rash (adjusted OR 21.1, 95% CI 2.2 ∞), chest pain (adjusted OR 3.9, 95% CI 1.2 13.8), or symptoms for >14 days (adjusted OR 4.1, 95% CI 1.3 14.2).
The final multivariate model identified male sex (odds ratio 5.57, 95% confidence interval 2.03 to 15.25, P=0.001), lower social class (3.19, 1.29 to 7.87, P=0.012), and early/preclinical examination failures (3.21, 1.43 to 7.23, P=0.005) as independent risk factors.
The multivariate model identified having had a total knee replacement between the index THR and 2006 as a risk factor for periprosthetic fracture (HR 1.82, 9% CI 1.30, 2.55) as well as a revision total hip replacement between the primary THR and 2006 (HR 1.40, 95% CI 0.95, 2.07; Table 2).
Notably, in a multivariate model identifying independent predictors of death in the ICU, NT-proBNP wasuperioror to BNP and APACHE II scoring, both of which were previously identified as being useful for prognostication in patients with ICU shock.
Alternative multivariate models identified clean water and sanitation as variables influencing maternal and abortion-related mortality in Mexican states.
Multivariate models identified glove use, repairing equipment, and number of acres treated as predictors of exposure in the applicators.
The initial multivariate models identified probable multicollinearity between ANC and TT/SP doses and this was confirmed in a collinearity test.
Multivariate models identified most of the descriptors of perceived needs (e.g., feeling that one had insufficient time with the doctor, feeling treated poorly, believing that one's diagnosis was delayed, feeling that one's physician is not a good listener) as explanatory variables of frequent Internet use.
