Methods for HIV/AIDS

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.

Stavroula Chrysanthopoulou

Joseph Hogan

Tao Liu

Jon Steingrimsson

Accordion Location