Janet Peacock

Janet Peacock


    • Capital House
      42 Weston Street

      United Kingdom

    • 9841

    Personal profile

    Biographical details


    Janet is Emeritus Professor Medical Statistics in the School of Population Health and Environmental Sciences. Her 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 includes paediatric studies, particularly preterm birth, cancer and other 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 new 2nd edition of 'Oxford Handbook of Medical Statistics' and 'Presenting Medical Statistics'. She is a former NIHR Senior Investigator and took up the post of Professor of Epidemiology and Biomedical Data Science at Dartmouth Geisel School of Medicine, USA in 2020.



    Research interests (short)

    Main clinical/epidemiological research interests

    • Perinatal medicine especially preterm birth
    • Paediatrics
    • Cancer and long-term conditions

    Methodological/design interest

    • Communicating statistics and making statistics meaningful to clinicians
    • Dichotomisation of continuous outcomes (see link to talk below)
    • Analysing data with small clusters
    • Trial design and conduct


    Talk to Biostatistics Group at University of Miami, Dec 2014:


    NIHR CRN podcast on the role of statistics in medical research.

    Research news features




    • Janet Peacock and Philip Peacock. Oxford Handbook of Medical Statistics, 2nd Ed. Oxford University Press. 2020.  DOI:10.1093/med/9780199551286.001.0001 








    Expertise related to UN Sustainable Development Goals

    In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

    • SDG 2 - Zero Hunger
    • SDG 3 - Good Health and Well-being
    • SDG 4 - Quality Education
    • SDG 5 - Gender Equality
    • SDG 11 - Sustainable Cities and Communities
    • SDG 16 - Peace, Justice and Strong Institutions

    Education/Academic qualification

    Applied Statistics, Doctor of Philosophy, Birthweight and cigarette smoking, St George's, University of London

    Award Date: 1 Nov 1989

    External positions

    Professor of Epidemiology and Biomedical Data Science, Geisel School of Medicine at Dartmouth

    2020 → …

    NIHR Senior Investigator, Statistical Sciences



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