Multiple Logistic Regression

This repository contains the files and analyses for an assignment on Multiple Logistic Regression (MLR) as part of the [Multivariable Analysis, Doctor of Public Health Program].

Objective

The aim of this assignment is to:

• Explore the association between multiple independent variables and a binary outcome.
• Apply MLR to develop predictive models and interpret results in the context of real-world data.
• Gain hands-on experience with statistical modeling techniques in R.

Contents

• Data: Contains the dataset used for the analysis.
• Scripts: R scripts for data cleaning, analysis, and visualization.
• Reports: Final report summarizing the methods, results, and interpretation.
• Presentation: Slides summarizing key findings and methodology.

Tools

• RStudio: Primary platform for code development.
• GitHub: Collaboration and version control.
• R Libraries:
  • tidyverse for data manipulation.
  • ggplot2 for visualization.
  • car and MASS for statistical modeling.

Collaboration

This project is a group assignment with contributions from:

1. [Dzulhairy]
2. [Shuhaiza]
3. [Nazli]
4. [Aziemah]

Instructions

1. Clone the repository to your local machine:

   git clone <repository-url>