Statistical methodology research on HIV/AIDS spans a broad spectrum and includes statistical causal inference (e.g. causal pathway analysis of HIV intervention involving behavioral changes);  statistical/machine learning methods (e.g. super-learning for risk modeling of treatment failure and prediction); Bayesian statistical modeling of the treatment continuum; clinical decision making for optimizing HIV treatment in resource limited settings; micro-simulation modeling; etc.  Professors Hogan, Liu, and Chrysanthopoulou’s collaborative and methodological research has secured rich research fund from NIAID, NIAAA, NIAID, NHLBI, NICHD, USAID, etc.