In multi-variable analyses controlling for sex, age, BMI, smoking, radiographic knee OA, bone size, and other diseases (rheumatoid arthritis, cardiovascular disease, asthma, and diabetes), log-transformed leptin levels were significantly associated with knee cartilage volume but not with cartilage defects.
After multi-variable analyses controlling for age, diagnoses, therapy (allogeneic transplant, autologous transplant, chemotherapy, other diagnoses), and duration of antifungal prophylaxis, the rate of breakthrough fungal infection was similar during both the AZ and AMB period (OR = 1.53, 95% CI 0.852 2.76161, p = 0.15).
The number of individuals in the study did not allow for full multivariate models including all independent variables, so it was decided to introduce the variables in separate analyses, controlling for age, sex and baseline value of the SF-36 subscales.
Other strengths include the utilization of medical record data, rather than self-report, for our key predictor variable of linkage to care, and detailed analyses controlling for important variables that may be related to our outcome variables.
Thirdly, we conducted multivariate logistic regression analyses controlling for variables associated with socio-economic trajectory and substance use at P < 0.10 to ensure that variables that were statistically related to the outcome, but confounded in age- and sex-adjusted analyses, were not automatically excluded from the analyses.
Multivariable regression analyses controlling for demographic variables and perceived health indicated that CPG adherence was related to better functional outcomes, Odds ratio (OR) = 1.45 [95% CI = 1.31 1.60] and lower healthcare costs (β = −230.15, p < 0.001).
RESULTS: Multiple regression analyses, controlling for demographic variables, revealed a significant religious coping by ethnicity interaction for ABP (p <.01) and clinic BP (p <.05).
In this third group, the association between SES and HRQL does not become any clearer in analyses controlling for other variables such as age.
Recent interspecific analyses, controlling for other variables also believed to influence testes size, show that relative testes mass is clearly related to levels of sperm competition in mammals [ 38].
Bivariate analyses (controlling for chronological age) identified and quantified lifestyle variables associated with perceived facial age.
Multivariable logistic regression models used to explore the relation between explanatory variables and outcomes; analyses controlled for potential confounding factors and adjusted for stratification.
