Dr Susanna Dodd PhD

Reader in Biostatistics Health Data Science


Personal Statement

I have been working at the University of Liverpool since 2001, and my research interests have focused predominantly on trial methodology relating to outcomes and adherence. I have extensive experience working in the design, conduct and analysis of randomised trials within the Clinical Trials Research Centre and previously as part of the Liverpool Cancer Trials Unit. I completed an NIHR Doctoral Research Fellowship investigating the use of causal methods to account for deviations from randomised treatment in the analysis of randomised trials. I lead the departmental Causal Inference Research Group, and specialise in causal and mediation analysis in trials. I am interested in the field of digital health, including the evaluation of digital health interventions and the use of routinely collected data (RCD) from the electronic health record and registry data to inform research. I am statistical lead on two trials and one registry study that rely on RCD for outcome data. I am also interested in the supplementation of RCD with patient reported outcome data, in order to further facilitate research that reflects patient-centred priorities.

I am interested in methodological research relating to outcomes in health research, and was involved in the ORBIT (Outcome Reporting Bias In Trials) project, helping to develop the study classification system for missing or incomplete outcome reporting in reports of randomised trials. I led on the development of a taxonomy for outcomes included in trials, systematic reviews and core outcome sets (COS), and continue to work in numerous COS uptake projects, assessing the representation of COS in trials, systematic reviews, health technology assessments, clinical and regulatory guidelines, and the electronic health record, in association with the COMET (Core Outcome Measures in Effectiveness Trials) initiative. I am currently accepting (and would be pleased to hear from) PhD students interested in outcomes research and digital health.