To account for such an over-dispersion, we propose to use an additive logistic normal multinomial regression model to associate the covariates to bacterial composition. The model can naturally account ...

Multinomial logistic regression models are popular in multicategory classification analysis, but existing models suffer several intrinsic drawbacks. In particular, the parameters cannot be determined ...

Logistic regression is a statistical method used to examine the relationship between a binary outcome variable and one or more explanatory variables. It is a special case of a regression model that ...

Although the multinomial logistic regression, elastic net regression, and random forest models had similar performance, we recommend use of the elastic net model because of its accessibility and ...

Multivariable Analysis Multivariable-adjusted multinomial logistic regression models were used to determine the demographic and clinical factors associated with HRQOL profile membership on both the ...

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 ...