(1) studied a possible association between frailty before ... variable or if there are multiple predictors. The three alternative regression models described here have the same interpretation of odds ...

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 ...

Introduction Bangladesh’s cigarette smoking prevalence remained unchanged (around 14%) between 2009 and 2017. Through tax ...

Evidence about the impact of multiple metal exposure on brain neuroimaging ... were measured using an inductively coupled plasma mass spectrometer. Ordinal and binary logistic regression models were ...

The aim of the course is to make the participants familiar with advanced statistical regression methods applied to clinical research and epidemiology. This will give the participants a better basis ...