To assess the association of ER β expression scores with clinical parameters and tumour characteristics, unconditional multinomial logistic regression was carried out.
In examining whether these trends were affected by other patient demographic and clinical characteristics, a multinomial logistic regression analysis was used to adjust for potential confounding factors, with patients without any of the comorbidities examined serving as the reference group.
Multivariable models of the dental procedures as a function of dentist, practice, and patient population characteristics were generated using multinomial logistic regression (producing separate models for the outcomes "occasionally" and "routinely", using "never" as the reference category) that accounted for possible confounding by other covariates.
First, demographic and clinical characteristics were tested using univariate multinomial logistic regression.
Because we were concerned about confounding by sociodemographic and clinical characteristics, we developed a multivariable multinomial logistic regression model to estimate the association between race and treatment use [ 27].
The association between the second indicator of inability to pay (foregoing health services) and respondents' characteristics is studied by means of multinomial logistic regression.
Table 2 shows the comparison of the three profiles with regard to patient and disease characteristics; Table 3 shows the results of the multinomial logistic regression analysis.
The duration health workers would stay in their current employment was measured against several background characteristics, work environment, and remuneration and compensation predictors using multinomial logistic regression.
Associations between participants' characteristics and frailty status were examined using unadjusted and adjusted multinomial logistic regression models estimating relative risk ratios (RRR) of frailty and pre-frailty.
Table 3 summarizes the results of a multinomial logistic regression of individuals' attitudes, socioeconomic and demographic characteristics, and country of residence on union status.
