My Ph.D. training was in statistics, specialized in design of experiment and response surface methodology. However, my academic career has been with medical schools collaborating with physicians in medical research and thus I would consider myself a biostatistician. My research interests are in the context of biostatistics, especially in the area of analyzing correlated data.
Correlated data arise in many diverse fields.
They may be in the form of repeated measures longitudinal data such as the recurrent events from following up patients. Spatial data are also correlated data, in which measurements from different regions are considered to be spatially correlated. Various statistical methods have been proposed to analyze correlated data. Current research has been focused on developing statistical models to account for the data dependence. I would like to see how specific correlation structures can be built into these models.