Yi-Fan Chen, PhD is a biostatistician in the Center for Biostatistics & Qualitative Methodology. Before joining Pitt, has been a biostatistician with extensive experience in collaborative research and hands-on data analysis within the Clinical and Translational Science Institute at the University of Illinois at Chicago since 2013. She was involved in many studies related to behavioral risk factors among older Asian Americans, retinal dysfunction, hemodynamics, hepatocellular carcinoma, and dry eye disease. In addition to major statistical approaches, such as longitudinal data analysis, she is interested in machine learning, particularly tree-based modeling for subgroup identification, the design and analysis of clinical trials, and meta-analysis.
- BS, Applied Mathematics, National Chiao Tung University, 2004
- MS, Biostatistics, National Yang-Ming University, 2006
- PhD, Biostatistics, University of Pittsburgh, 2013
Education & Training
Chen YF, Yabes JG, Brooks MM, Singh S, Weissfeld LA. A likelihood ratio test for nested proportions. Statistics in Medicine. 2015; 34(3):525-538.
Stapleton CJ, Chen YF, Shallwani H, Vakharia K, Turan TN, Woo HH, et al. Submaximal angioplasty for symptomatic intracranial atherosclerotic disease: A meta-analysis of peri-procedural and long-term risk. Neurosurgery. 2020; 89(6):755-762.
Lie CC, Chen YF, Liang J, Matthews AK, Barnes LL. Trajectories of multiple behavioral risk factors and their associations with cognitive function trajectories among older African Americans and White Americans. Journal of Aging & Health. 2021; 33(9):674-684.
Kaelin V, Villegas V, Chen YF, Murphy N, Papautsky E, Litfin J, et al. Effectiveness and scalability of an electronic patient-reported outcome measure and decision support tool for family-centered and participation-focused early intervention: PROSPECT hybrid type 1 trial protocol. BMJ Open. 2022; 12(1):e051582.
