Medical Statistics Assignment 1: Comparing Patient Characteristics

This assignment analyzes patient characteristics and treatment outcomes using statistical techniques. It compares patient data at entry and during follow-up, examining variables like insulin levels, adherence, and weight. The analysis employs t-tests and regression models to identify significant factors influencing weight loss. The regression model reveals a moderate correlation between dependent and independent variables, with smoking and insulin showing insignificant impacts. The t-test results indicate that gender doesn't significantly affect weight loss, while glucose and adherence play crucial roles. The assignment uses statistical methods to interpret patient data, providing insights into the factors influencing patient outcomes in medical studies. The document includes tables and model summaries to support the findings.