Course Project (clinical trial) – Employed survival analysis to evaluate whether, among people who were depressed after having a heart attack, treatment for depression would lessen or slow the rate of repeat heart attacks or death. Manipulated raw data to a join data set and analyzed the combined new data set. Finally this clinical trial data used the Cox Proportional Hazard Regression model to assess the result. All the process of analysis used SAS software to perform calculation.
Thesis Project –Established a predictive model for evaluating the influence of community pharmacists on the Centers for Medicare and Medicaid Services’ (CMS) Part D Star Ratings via medication therapy management (MTM) targeted at increasing adherence to diabetes medications. Applied T-test and logistic regression to analyze the change of PDC (proportion of days covered) 6 months before or after intervention to estimate the different contributions from covariates to PDC outputs though SAS.