My main research area has been time-to-event data analysis and clinical trials. In time-to-event data analysis, I have worked on frailty modeling, efficiency of survival probability estimates from the proportional hazards model, weighted log-rank test, competing risks, quantile residual lifetime/life lost, and likelihood theory such as empirical likelihood and hierarchical likelihood, which led to publication of my single-authored book with Springer, entitled Statistical Inference on Residual Life, in 2014 and a co-authored book with Springer, entitled Statistical Modelling of Survival Data with Random Effects: H-Likelihood Approach, in 2017.
In clinical trials, I have been involved in several influential phase III breast cancer clinical trials, including work on developing a prediction model based on microarray data collected from different platforms, through the National Surgical Adjuvant Breast and Bowel Project (NSABP) as a co-investigator. I direct Data Management and Statistical Unit (DMSU) for the Division of General Academic Pediatrics. I also serve as a senior faculty member in the CTSI Biostatistics, Epidemiology, and Research Design (BERD) Core at University of Pittsburgh.
I haveI graduated 6 MS and 11 PhD students, and am currently advising 1 PhD student. I have been teaching Statistical Theory (both MS and PhD levels), Survival Analysis (both theory and applied), and Mixed Models (both theory and applied). I currently serve on the editorial board for Lifetime Data Analysis, the only journal dedicated to time-to-event data analysis, and for Scientific Reports. I am a Fellow of the American Statistical Association (ASA), an elected member of the International Statistical Institute (ISI), and an elected member of Omicron of the Delta Omega Society (Honorary Public Health Society).