Vaccine and Infectious Disease Division, Fred Hutch
Public Health Sciences Division, Fred Hutch
Dr. Ying Huang is a biostatistician whose work focuses on biomarkers, which are molecular cues that can help predict the risk of disease or the effects of treatment. Analyses of biomarker studies are useful in disease screening, the identification of surrogate endpoints in clinical trials and in the selection of treatments for cancer and infectious diseases. Using data from randomized trials and observational studies, her team develops statistical methods for the design and analysis of new studies that use biomarkers. Huang and colleagues also explore ways to improve the efficiency of biomarker selection for use in clinical trials.
Affiliate Associate Professor, Biostatistics
University of Washington
Fred Hutchinson/University of Washington Cancer Consortium
University of Washington, 2007, Ph.D. (Biostatistics)
Iowa State University, 2000, M.S. (Molecular, Cellular, and Developmental Biology)
Iowa State University, 1999, M.S. (Statistics)
Fudan University, 1996, B.S. (Biochemistry)
Statistical methods in biomarker evaluation for disease screening, surrogate endpoint identification, and treatment selection
Genome-wide association studies
Statistical Methods in HIV Vaccine Efficacy Trials
Early Detection Research Network
Nutrition and Physical Activity Assessment
Leadership for HIV/AIDS Clinical Trials Networks: HIV Vaccine Trials Network
Transdisciplinary Cancer Genomics Research
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