Recently Published
Logistic Regression approaches in predicting Heart Failure.
Logistic regression analysis is a commonly used model when the response variable is a binary dependent
variables. When there are more than two classes, we would prefer the multinomial logistic regression.
Logistic regression not only can predict the possibility of one observation based on predictors, but it is also
helpful in measuring the relationship between the dependent variable and other independent variables.
In this project, I will utilize the logistic regression model not only to identify the relationship between medical
predictors and heart failure but also to predict the survival of a patient based on these healthcare variables
Statistical Computing Project
In this project, I use Census data to analyze dataset based on problems in the Statistical Computing Project.