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Similarly, we used bivariate and multivariate (adjusted for age, gender, and job classification) logistic regression models to evaluate the association between the various attitudes and beliefs.
The association between a person's educational level and being prescribed psychotropic drugs from geriatricians and psychiatrists compared with 'GPs and other specialists' was assessed by bivariate and multivariate (adjusted for age, gender, place of residence, dementia status and number of drugs) multinomial regression models.
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Multivariate adjusted ORs for maternal antepartum depression in relation to maternal early pregnant BDNF levels are reported in Table 3.
Multivariate adjusted risk ratios for survival and CKD outcomes were displayed graphically if available.
Weighted adjusted multivariate analyses; adjusted for all other variables in the table.
For studies reporting only multivariate risks (adjusted for covariates), however, those measures were included.
Multivariate analyses adjusted for ethnicity.
We then conducted multivariate analyses adjusted for potential confounding factors.
All multivariate models adjusted for age, religion and education level.
Multivariate analyses adjusted for baseline and treatment factors.
Multivariate analyses adjusted for possible confounders including age and sex, and stepwise for relevant underlying disorders.
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