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A more informative investigation of the association of U-Cd with smoking would use multivariate regression, controlling for these variables.
Finally, to determine predictive validity, bivariate analyses as well as robust multivariate regression controlling for age and gender were performed to identify the association between SDAT and rehabilitation outcomes (length of stay, nursing home discharge).
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The multivariate regression controlled patient complexity or illness by using WHO stage during the visit.
CINV events and CINV days were analyzed using multivariate regressions controlling for demographic and clinical variables.
Marginal effects from multivariate regressions controlling for client characteristics and the multi-stage cluster sample design assess the relative importance of different measures of structural and process quality at public and private facilities on client satisfaction.
In a multivariate logistic regression (controlling for age, ethnicity, region, metropolitan status and insurance status), Table 3 factors significantly associated with a higher proportion of seizure visits among all ED visits included male gender [odds ratio (OR): 1.4], Black race (OR: 1.4) and alcohol-related visit (OR: 3.2).
Associations were analyzed with multivariate logistic regression, controlling for pre and postnatal alcohol use, as well as other relevant covariates.
Multivariate linear regression controlling for baseline PHQ-9 scores was used to investigate the effect of sex and age on post-treatment PHQ-9 scores.
The factors associated with no-responses on OSC and LE were analyzed using multivariate logistic regression, controlling for the effect of socio-demographic variables.
A multivariate linear regression controlling for baseline PHQ-9 scores indicated that age and gender were not statistically significant predictors of post-treatment PHQ-9 scores.
These findings were further supported by the lack of a statistically significant linear relationship between physical activity and glucose levels when levels were examined in a multivariate linear regression controlling for BMI, age, sex, and years of education.
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