The statistical analysis is based on a multinomial logistic regression model, allowing the identification of factors associated with FCS and HDDS. We found that the HDDS is high (61%) for households ...

The data were analyzed using the chi-square, Fisher’s exact and log-rank Mantel Cox tests and multinomial and Cox logistic regression. Results: Of the 350 medical records evaluated, 251 reported N0, ...

The classification problem represents a funda-mental challenge in machine learning, with logistic regression serving as a traditional yet widely utilized method across various scientific disciplines.

Table 4. Multinomial logistic regression – socioeconomics traits. Table 5. Multinomial logistic regression – gender equality traits. Finally, the section concludes with an in-depth analysis of the ...

We used multinomial logistic regression to investigate associations between US National Academy of Medicine (NAM) classifications (inadequate, sufficient and excessive GWG) and BMI, age, country of ...

ℹ️ Multinomial logistic regression is known by a variety of other names, including polytomous LR, multiclass LR, softmax regression, multinomial logit (mlogit), the maximum entropy (MaxEnt) classifier ...

Multinomial logistic regression analysis identified significant associations between specific factors and the likelihood of malnutrition outcomes among school-aged children (table 4).

Bayaga, A. (2010) Multinomial Logistic Regression Usage and Application in Risk Analysis. Journal of Applied Quantitative Methods, 5, 288-297.