Mojgan Golzy, MA, MS, PhD

Assistant Research Professor

University of Missouri – Columbia (MU)

I have research experience in the development of statistical methodologies, motivated by important scientific problems, and also in interdisciplinary collaboration investigation. I developed a clustering method based on the mixtures of Poisson kernels for clustering high dimensional data on sphere. I presented a nonlinear hierarchical mixed effect model as an approach to event intensity rate modeling. I have collaborated with researchers with the goal to improve the healthcare of patients. Statistical methods employed in these studies included time dependent Cox model analysis, Multivariate Path model, analysis of longitudinal data, competing risk analysis, marginal structural model analysis, propensity score matching, ROC curve analysis, and prospective logistic analysis of case-control studies.