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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…
Likelihood-ratio test for normally distributed populations with non-constant variance. Essentially a LRT equivalent to Welch's ANOVA. Documented in LaTeX, implemented in Python.
Script to perform three different likelihood-ratio tests in Julia, and call an R script to perform the one-way ANOVA test, Welch's ANOVA test and analysis of deviance on a gamma generalized linear model.
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.
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
Implementing the Linkage and Pathway Universal Tests using the clrdag package for Direceted Acyclic Graphs. Testing the two tests on cytometry data to analyze the links.