Goodness-of-fit tests for categorical response models

R Shiny App to determine the factors that are most influential in patients’ survival of CHD. I created a Logistic Regression model in R using RStudio to predict the survival of CHD patients. Retrieved the data from the PHIS database using SQL & built tableau dashboards. The model predicted the survival of CHD with an AUC of over .90 and indicate…

Some movies to teach statistical concepts

This is the repository for the RMediation package.

Statistical Modelling of Swine Flu Outbreak Data

Final project for PHST 684 at the University of Louisville (Categorical Data Analysis)

This package implements hypothesis testing procedures that can be used to identify the number of regimes in a Markov-Switching model.

Chandler-Bate adjustment for different models in Econometrics

Cluster-specific logistic regression models for whether an NBA team will make the playoffs given the current statistics of that team. Specifically uses population averaged models (PA) based on generalized estimating equations (GEE); Also, uses cluster-specific (each team) random effects models

R script that analyzes the relationship between subjects who grew up in lower-income families on the basis of certain economic factors and proportion of individuals reporting incomes in the top quintile by age 30.