Author Information
Janet L. Peacock, Ph.D.
Professor of Medical Statistics, Division of Health and Social Care Research, Faculty of Life Sciences and Medicine, King's College London, UK
Janet's main research interests are in the use and extensions of statistical methods in epidemiological studies, and she is passionate about communicating biostatistics clearly to non-statisticians.
She leads statistics/databases for King's Technology Evaluation Centre (KiTEC) working with NICE and NHS England, and co-leads Data Analytics in the Guy’s/St Thomas’/King’s National Institute for Health Research (NIHR) Biomedical Research Centre. She is a visiting Professor at Dartmouth College US. Janet was appointed a NIHR Senior Investigator in 2017.
Sally M. Kerry, Ph.D.
Reader in Medical Statistics, Centre for Primary Care and Public Health, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, UK
Sally is a senior statistician in the Pragmatic Clinical Trials Unit, Queen Mary University of London, UK and is a co-investigator on a number of pragmatic trials, mainly in primary care. She has a particular interest in cluster randomised trials and step wedge designs and has extensive experience in the practical aspects of the design of trials and has written a number of methodology papers to improve researchers’ understanding of the statistical issues.
Raymond R. Balise, Ph.D.
Research Assistant Professor, Department of Public Health Sciences, Division of Biostatistics, University of Miami, USA; and Stanford Cancer Institute and Department of Health Research and Policy, Stanford, USA
Ray is a biostatistician whose passion is teaching. His main research interests are in statistical programming with biomedical applications, data science and data visualisation. His research has spanned topics ranging from phonetics to obstetrics, dyspepsia to dyslexia and health disparity to brachytherapy. He collaborates in many areas of clinical research including urology, cardiology, cancer and teaches biostatistics to graduate students, medical students and postgraduates.