Suzie Cro is a Senior Lecturer in Medical Statistics and Clinical Trials, Co-Head of Statistics and Head of Trial Methodology (StatsCI) at Imperial Clinical Trials Unit (ICTU), School of Public Health.
She holds a personal NIHR advanced research fellowship which funds research to develop accessible statistical methods to analyse randomised controlled trials where patient outcomes have been affected by post‐randomisation events (e.g. treatment discontinuations or use of additional therapies) and to translate the ICH-E9-R1 addendum on estimands and sensitivity analysis in clinical trials into best statistical practice.
Suzie has a broad range of experience in the design and analysis of clinical trials and other interventional studies. She is a statistical co-investigator for FORWARDS - a Bayesian, adaptive, dose-escalation trial of baclofen in opioid dependence during methadone-maintenance treatment; and the statistician for ASCOT – a randomised controlled trial of adjunctive intraocular and periocular steroid (triamcinolone acetonide) versus standard treatment in eyes undergoing vitreoretinal surgery for open globe trauma.
Her statistical research interests include relevant accessible methods for:
- Handling missing data in randomised controlled trials
- Estimands and handling post-randomisation events, such as rescue medication and non-compliance in randomised controlled trials
- Transparency in the statistical analysis of clinical trials
She is a core group member of the MRC-NIHR TMRP Statistical Analysis Working Group. She has been an Associate Editor for the journal Trials and reviews articles for various other journals. She serves as a member of IDMCs and TSCs.
Suzie obtained a BSc in Mathematics with statistics in 2008 and an MSc in Statistics with applications in medicine in 2010 from the University of Southampton. Following this she joined the MRC Clinical Trials Unit at UCL as a statistician, where she worked in collaboration with the Royal National Orthopaedic Hospital on a variety of musculoskeletal trials and other research projects. In 2013, alongside her position at the MRC CTU at UCL, she joined the London School of Hygiene and Tropical Medicine to undertake a PhD supervised by Professor James Carpenter. After completing her thesis on sensitivity analysis for randomised controlled trials with missing data, she joined Imperial College in October 2016.
Cro S, 2022, Time to improve the clarity of clinical trial reports by including estimands., Bmj, Vol:378, ISSN:0966-6494, Pages:1-2
et al., 2022, Evaluating how clear the questions being investigated in randomised trials are: systematic review of estimands., Bmj, Vol:378
et al., 2022, Anakinra for palmoplantar pustulosis: results from a randomized, double-blind, multicentre, two staged, adaptive placebo controlled trial (APRICOT)., British Journal of Dermatology, Vol:186, ISSN:0007-0963, Pages:245-256
et al., 2021, Estimands in published protocols of randomised trials: urgent improvement needed, Trials, Vol:22, ISSN:1745-6215
et al., 2020, A four-step strategy for handling missing outcome data in randomised trials affected by a pandemic, BMC Medical Research Methodology, Vol:20, ISSN:1471-2288
et al., 2020, Sensitivity analysis for clinical trials with missing continuous outcome data using controlled multiple imputation: a practical guide, Statistics in Medicine, Vol:39, ISSN:0277-6715, Pages:2815-2842
Cro S, Carpenter JR, Kenward MG, 2019, Information-anchored sensitivity analysis: theory and application, The Authors Journal of the Royal Statistical Society: Series a (statistics in Society)