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Bivariate multinomial regression models assessed the association of patient characteristics with the MRT-PCRs.
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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.
We present the results of logistic regression and multinomial regression models as predicted probabilities to avoid the complexity in interpretations of interaction term in the regression models.
For clutch size, the results are from multinomial regression models (see Methods).
Table 4 summarizes the results of the unadjusted, age-adjusted and fully-adjusted multinomial regression models.
Multinomial regression models assessed associations between a child's food intake and mother's BMI/overweight.
Similarly, we ran 3 separate multinomial regression models to predict likelihood of housing stability.
Then, all multinomial regression models were adjusted for age (in years), sex and SES.
Also, implementation for the ordered logistic and multinomial regression models is harder (Bull et al., 2002).
The reference category in the multinomial regression models was survival over the three years.
Logistic regression is a multinomial regression model and it is used for prediction by fitting data to a logistic curve.
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