Dr. Chang has a wide range of interests in theoretical and applied statistics, including time-to-event (survival) and longitudinal data analysis, missing data (competing risks and informative dropout), causal effect modeling (propensity score and marginal structural modeling), design and analysis of observational studies and clinical trials, design and analysis of studies of biomarkers in risk prediction, dynamic prediction, and machine learning techniques. As the lead statistician or consulting statistician, she has helped investigators throughout the University develop research protocols and data analysis plans for biomedical studies and has overseen the data management and analyses.
Dr. Chang encourages and promotes using the most up-to-date statistical methods. She has applied these methods to a range of investigations, including research on aging, HIV/AIDS and other infectious diseases, heart diseases, liver transplantation, health services research, and acute illness.
- MA, Mathematical Statistics, University of Pittsburgh, 1992
- PhD, Biostatistics, University of Pittsburgh, 1998
Education & Training
- Member, American Statistical Association, 1990-present
- Member, International Biometric Society, Eastern North American Region, 1995-present
- Member, International Society for Clinical Biostatistics, 2002-present
- Member, Society for Clinical and Translational Science, 2009-present
- Distinguished Alumni Award for Teaching and Dissemination, presented by the Graduate School of Public Health (GSPH), University of Pittsburgh, 2014
- Member, American Academy of Master Educators (AME), School of Medicine, University of Pittsburgh, 2015-2020
- Statistician of the Year, American Statistical Association Pittsburgh Chapter, 2016
- Excellence in Teaching Award, Institute of Clinical Research Education, University of Pittsburgh, 2011, 2023
- Fellow, American Statistical Association, 2020
