Janet L Peacock, PhD
Title(s)
Professor of Epidemiology
Professor of Biomedical Data Science
Additional Titles/Positions/Affiliations
Emeritus Professor of Medical Statistics King's College London, UK
Department(s)
Epidemiology
Biomedical Data Science
Education
PhD University of London, UK 1989
Websites
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Contact Information
Department of Epidemiology
Geisel School of Medicine at Dartmouth
DHMC
Lebanon NH 03756
Office: Rubin 888
Email: janet.peacock@dartmouth.edu
Professional Interests
Janet is Biostatistician whose main research interests are in the use and extensions of statistical methods in epidemiological studies, and the communication of biostatistics to non-statisticians. Her clinical research interests are in pediatrics, especially preterm birth, cancer and long-term conditions. Her main methodological interest is in making outcomes clinically meaningful and accessible to non-statisticians. She has written three biostatistics books for non-statistical researchers including the 'Oxford Handbook of Medical Statistics', 'Presenting Medical Statistics'' both of which are in 2nd editions. She previously led biostatistics at King's College London and now holds an Emeritus position there.
A Survey of Cancer Risk Behaviors, Beliefs, and Social Drivers of Health in New Hampshire and Vermont. Cancer Epidemiology in the Northeastern United States (2013-2017). A population-based survey of self-reported delays in breast, cervical, colorectal and lung cancer screening. Lung function at 16-19 years in males and females born very prematurely. Optimized immunosuppression to prevent graft failure in renal transplant recipients with HLA antibodies (OuTSMART): a randomised controlled trial. Pediatric Cancer in the Northeast United States-Reply. Water hardness and atopic dermatitis in the first year of life in the New Hampshire Birth Cohort Study. Prospective RandOmised Trial of Emergency Cardiac Computerised Tomography (PROTECCT). Influence of bronchopulmonary dysplasia on lung function in adolescents who were born extremely prematurely. |