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Gilbert
Peter Gilbert, PhD
- Professor, Biostatistics, Bioinformatics and Epidemiology Program, Vaccine and Infectious Disease Division, Fred Hutch
- Professor, Biostatistics Program, Public Health Sciences Division, Fred Hutch
- Member, Translational Data Science Integrated Research Center (TDS IRC), Fred Hutch
- Principal Investigator, Statistical Data Management Center, HIV Vaccine Trials Network
- Research Professor, Biostatistics, University of Washington
- Graduate Faculty, Biostatistics, University of Washington
Background
Dr. Peter Gilbert is a biostatistician engaged in the design and analysis of clinical trials of candidate vaccines for HIV and other infectious diseases. His team specializes in data analyses of these trials to understand how vaccine efficacy depends on immune responses to vaccination and on genetic features of infectious pathogens — a field of biostatistics he pioneered named “sieve analysis.” His teaching and research interests include general biostatistical methods in areas including survival analysis, causal inference and evaluation of surrogate endpoints. He enjoys working with biostatistics graduate students on innovative statistical methods for vaccine clinical trials.
Education
University of Washington, 1996, PhD (Biostatistics)
University of Washington, 1994, MS (Biostatistics)
University of Washington, 1992, BS (Mathematics)
Research Interests
Vaccine clinical trials
Design and analysis of phase 2b vaccine clinical trials, for evaluating vaccine efficacy, immune correlates of protection, sieve analysis, and post-infection vaccine effects
Design and analysis of phase 2b/3 clinical trials of monoclonal antibodies for prevention of HIV infection
General biostatistical methods research, including survival analysis, causal inference, and evaluation of surrogate endpoints, especially involving immunology and virology data (e.g. pathogen sequences) integrated with clinical data
Current Projects
Leadership for the Statistical Data Management Center of the HIV Vaccine Trials Network
Leadership for Statistical Science for COVID-19 Vaccine Efficacy Trials
Statistical Methods in Vaccine Efficacy Trials for HIV and Other Genetically Diverse Pathogens
Statistical Methods for Monoclonal Antibody HIV Prevention Efficacy Trials