Background The long-term trajectories of estimated glomerular filtration rate (eGFR) and their relation to early proteinuria ...

Background Despite global efforts to improve nutrition, young women aged 15–24 years in low-income and middle-income countries (LMICs) face persistent dual burdens of malnutrition, marked by high ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Add a description, image, and links to the multinomial-logistic-regression topic page so that developers can more easily learn about it.

Desertification is the degradation process caused by climatic conditions and human activities that results in loss of soil productivity and decline in vegetation growth in the long term. Several ...

Multinomial logistic regression (MNL) is an attractive statistical approach in modeling the vehicle crash severity as it does not require the assumption of normality, linearity, or homoscedasticity ...

aDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA bDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, USA ...

aDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA bDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, USA ...