This presentation demonstrates key statistical methods in immunology using a simulated vaccine study. It analyzes antibody response and seroconversion between two adjuvant groups (Alum vs. TLR), applying confidence intervals, hypothesis testing, and logistic regression. Data visualization with ggplot2 and plotly is used to illustrate trends across age and treatment groups. The dataset is simulated, but the analytical approach reflects real immunological research.

This presentation demonstrates simple linear regression using the mtcars dataset in R. It includes data visualization, model fitting, interpretation of results, and an interactive plot using ggplot2 and plotly.

Good project

A deep dive into the intersection of transit and probability distribution.