Multinomial Logistic Regression Table. When i try to present the results using gtsummary package. Table 3 shows the multinomial logistic regression model for all coefficients.
An important feature of the multinomial logit model is that it estimates k 1 models where k is the number of levels of the outcome variable. I have used the mlogit package to conduct a multinomial logistic regression. Active 2 months ago.
The traditional 05 criterion of statistical significance was employed for all tests.
With more than two possible discrete outcomes. I have a dependent variable with four outcomes. Multinomial logistic regression is used to model nominal outcome variables in which the log odds of the outcomes are modeled as a linear combination of the predictor variables. In multinomial logistic regression however these are pseudo r 2 measures and there is more than one although none are easily interpretable.
