The client, Retina Consultants of Houston, contracted us to analyze a dataset of 40 patients from a prospective clinical trial. Data were collected weekly on three treatment groups over 2 years. The primary goal was to test if there were any differences in several clinical measurements among the treatment groups between weeks 0, 24 and 48.
We performed data cleaning (e.g., replacing missing values with the last non-missing observation for each patient). We made box and line plots to show differences within and between treatment groups over time. We ran 1-way repeated measure ANOVA with post hoc pairwise comparison, linear mixed models with multiple comparison, pairwise t-test, and chi-squared test respectively to test the differences in various clinical measurements between the treatment groups. We interpreted the statistical results and wrote detailed explanation of the methods.