Yang Chen PhD

Yang Chen is now serving as an Associate Director of Statistics at Takeda. He earned his Ph.D. in Biostatistics from the State University of New York at Buffalo in 2018. Yang led the statistical work across multiple disease areas, including Plaque Psoriasis (PsO), Systemic Lupus Erythematosus (SLE), Spinal Cord Injury (SCI), Alpha-1 Antitrypsin Deficiency (AATD), Transfusion-Dependent Beta-Thalassemia (TDT), Sickle Cell Disease (SCD), and Huntington’s Disease (HD). His statistical research areas of interest include adaptive design, umbrella/basket trial design, pediatric drug development, external information borrowing, subgroup identification, variable selection, surrogate endpoint validation, count data analysis, safety signal detection, goodness-of-fit testing, and statistical distance.

• Yang Chen, Marianthi Markatou. (2020) Kernel tests for one, two, and k-sample goodness-of-fit: State of the art and implementation considerations. In Statistical Modeling in Biomedical Research, Emerging Topics in Statistics and Biostatistics, Springer, New York, NY
• Marianthi Markatou, Yang Chen. (2018) Non-Quadratic Distances in Model Assessment. Entropy, 20(6): 464; DOI: 10.3390/e20060464
• Marianthi Markatou, Yang Chen, Georgios Afendras, Bruce G. Lindsay. (2017) Statistical distances and their role in robustness. In New Advances in Statistics and Data Science, Springer, New York, NY
• Demissie Alemayehu, Yang Chen, Marianthi Markatou. (2018) A comparative study of subgroup identification methods for differential treatment effect: Performance metrics and recommendations. Statistical Methods in Medical Research, 27(12):3658-3678