Our consulting team worked with the Dr. Susan Love Research Foundation on two projects. The first was to model the levels of four hormones and residual proteins in the breast ductile lavage fluid of healthy women. Methods used include nested models, data transformation, simulating missing data and intraclass correlation (ICC). The second was to explore chemical levels collected of patients over several hours after exposure to different medications, comparing levels between ductile lavage, blood and nipple aspirative fluid (NAF) with plots. Methods include ggplot, time series and kernel smoothing estimation.
Click here for completed report.