Rachel is a Research Fellow at Imperial Clinical Trials Unit (ICTU), School of Public Health.
Within ICTU Rachel is a member of the Trials Methodology team and Clinical Trial Statistics group. Rachel currently works as a clinical trial statistician and has a broad range of experience in the design and analysis of clinical trials.
Rachel's methodological research interests focus on the reporting and analysis of adverse events in drug trials and the development of statistical methods to better identify adverse drug reactions.
Rachel obtained a BSc in Mathematics from the University of Nottingham in 2008 and was awarded an NIHR Research Methods Fellowship to complete her MSc in Medical Statistics at the London School of Hygiene and Tropical Medicine in 2009, after which she spent two years working as a statistician at the Institute of Psychiatry, Psychology and Neuroscience, King’s College London. In 2012 Rachel moved to Singapore to work for an academic clinical research organisation focusing on clinical trials in infectious diseases and mental health. She joined the Division of Health and Social Care Research, King’s College London in 2015 as a research fellow to work as a clinical trial statistician including both early and later phase trials. During this time she also worked as a general adviser for the NIHR Research Design Service. Rachel was awarded an NIHR Doctoral Research Fellowship in 2018 to undertake her PhD at Imperial College London, which she completed in 2021.
et al., 2021, Commentary: Time to improve the reporting of harms in randomized controlled trials, Journal of Clinical Epidemiology, Vol:136, ISSN:0895-4356, Pages:216-220
et al., 2021, How can we estimate QALYs based on PHQ-9 scores? Equipercentile linking analysis of PHQ-9 and EQ-5D, Evidence-based Mental Health, Vol:24, ISSN:1362-0347, Pages:97-101
et al., 2021, Improving analysis practice of continuous adverse event outcomes in randomised controlled trials – a distributional approach, Trials, Vol:22, ISSN:1745-6215
et al., 2021, Dismantling, optimising, and personalising internet cognitive behavioural therapy for depression: a systematic review and component network meta-analysis using individual participant data, The Lancet Psychiatry, Vol:8, ISSN:2215-0366, Pages:500-511
et al., 2021, Impact of The daily Mile on children's physical and mental health and educational attainment in primary schools; iMprOVE cohort study protocol, Bmj Open, Vol:11, ISSN:2044-6055