Amy Herring
Sara & Charles Ayres Distinguished Professor
Statistical Science, Global Health, and Biostatistics & Bioinformatics
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Amy Herring
Sara & Charles Ayres Distinguished Professor
Statistical Science, Global Health, and Biostatistics & Bioinformatics
Amy H. Herring is Sara & Charles Ayres Distinguished Professor of Statistical Science, Global Health, and Biostatistics and Bioinformatics at Duke University. Dr. Herring received her doctorate in biostatistics at Harvard University and came to Duke from UNC-Chapel Hill, where she was distinguished professor of biostatistics. Her research interests include development of statistical methodology for longitudinal or clustered data, Bayesian methods, latent class and latent variable models, missing data, complex environmental mixtures, and applications of statistics in population health and medicine. She has received numerous awards for her work, including the Mortimer Spiegelman Award from the American Public Health Association as the best applied public health statistician under age 40. Her research program is funded by NIH, and she holds leadership positions at the national and international level, including as Chair of the American Statistical Association's Section on Bayesian Statistical Science, as President of the International Society for Bayesian Analysis, and as a member of the Board of the International Biometric Society.
Publications
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Hesketh KR, Wen F, Herring AH, Siega-Riz AM, Evenson KR. Perception and reality: The mismatch between absolute and relative physical activity intensity during pregnancy and postpartum in United States women. Preventive medicine. 2024 May;182:107948.Jin B, Herring AH, Dunson D. SPATIAL PREDICTIONS ON PHYSICALLY CONSTRAINED DOMAINS: APPLICATIONS TO ARCTIC SEA SALINITY DATA. Annals of Applied Statistics. 2024 Jan 1;18(2):1596–617.Gupta A, Wilson LE, Pinheiro LC, Herring AH, Brown T, Howard VJ, et al. Association of educational attainment with cancer mortality in a national cohort study of black and white adults: A mediation analysis. SSM - population health. 2023 Dec;24:101546.Petersen JM, Kahrs JC, Adrien N, Wood ME, Olshan AF, Smith LH, et al. Bias analyses to investigate the impact of differential participation: Application to a birth defects case-control study. Paediatric and perinatal epidemiology. 2023 Dec;
See more publications at Scholars@Duke