BANA 4080 self introduction for Lab 2

ERPs, FMUT cluster-mass, MVPA & ROIconnect

This tutorial demonstrates how to build a prediction model using the XGBoost machine learning classification technique.

This tutorial demonstrates how to use `ggplot2` from the `tidyverse` package to create advanced, highly customizable data visualizations while telling the story of bike thefts in Toronto through data, presented across 5 chapters.

General linear Modeling with PACC and MOCA as the outcome and assessment of interaction terms.

Module 2 Lab Quiz

Allie's Bio

This document demonstrates Target Trial Emulation in R. It covers defining estimands, preparing observational data, handling censoring via IPCW, expanding data into trial sequences, and fitting marginal structural models. Predictions, such as survival probabilities, are generated and visualized to assess treatment effects.

This script creates custom forest plots in R to visualize effect size measures and confidence intervals for multiple groups. It combines structured data, customized aesthetics, and unified plots for clear comparisons and effective presentation.