Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

We included patients age 66 years or older with colorectal cancer in the SEER-Medicare registry. Using patients diagnosed from 2014 to 2016, we developed models (multinomial logistic regression, ...

We then used the Hosmer–Lemeshow test to check for goodness-of-fit of the multinomial logistic regression model. We used sex, age, residence and monthly income as the control variables. The p value of ...

Multinomial logistic regression models were used to identify clinical and sociodemographic factors associated with survivors' membership in the low versus moderate or high HRQOL profile. Results. The ...