Principle Investigator (JoineR-M)
Dr Ruwanthi Kolamunnage-Dona is a Reader in Medical Statistics in the Department of Biostatistics at the University of Liverpool. She has established research expertise in joint modelling of longitudinal and event time data in various applications of medicine. She is supervising several statistical and non-statistical postgraduate students in the same area. She has led many training workshops on joint modelling (under MRC funded JoineR grant) and worked closely with Dr Pete Philipson in delivery of the software and workshops. She is also currently working with Dr Andrea Jorgensen on stratified medicine theme of the MRC North West Hub for Trials Methodology Research (NWHTMR).
Dr Andrea Jorgensen is a Senior Lecturer in the Department of Biostatistics, University of Liverpool. She leads the Liverpool Statistical Pharmacogenetics Research Group, and has expertise in analysing pharmacogenetic studies, particularly those with time to event outcomes. She is the statistician on EU FP7 projects investigating the pharmacogenetics of anti-epileptic drugs and benefits of pharmacogenetic-guided anticoagulation. She is a member of the International Warfarin Pharmacogenetics Consortium, and co-leads the NWHTMR working group on stratified medicine.
Pete has led the development of the software and release of the joineR package for joint modelling in R under the previous MRC grant. He is the maintainer of the joineR and interests in expanding the software. Dr Philipson also has expertise in modelling of longitudinal biomarkers for coronary heart disease.
Principle Investigator (JoineR) & Collaborator (JoineR-M)
Professor Paula Williamson led the previous MRC funded project JoineR along with Professors Robin Henderson and Peter Diggle, and has extensive experience in the development and application of statistical methodologies in clinical research and have published in top statistical and clinical journals. Professor Williamson is Professor of Medical Statistics, Director of the Clinical Trials Research Centre, and Head of the Department of Biostatistics at the University of Liverpool. She is leading the MRC NWHTMR.
Principle Investigator (JoineR) & Collaborator (JoineR-M)
Professor Robin Henderson is Professor of Statistics, and the Head of School of Mathematics and Statistics, University of Newcastle. Together with Professors Paula Williamson and Peter Diggle, he led the previous MRC funded project JoineR. Professor Henderson's research interests include longitudinal data analysis, survival and event history analysis, missing data, and optimal dynamic treatment regimes. He has extensive experience in the development and application of statistical methodologies in clinical research and have published in top statistical and clinical journals
Principle Investigator (JoineR)
Professor Peter Diggle's research concerns the development and application of statistical methods relevant to the biomedical and health sciences. Professor Diggle is Professor of Statistics in the Lancaster Medical School. He also holds adjunct appointments at the Johns Hopkins University School of Public Health, Columbia University International Research Institute for Climate and Society, and Yale University School of Public Health. Professor Diggle is a trustee for the Biometrika Trust, a member of the Advisory Board for the journal Biostatistics, chair of the Medical Research Council’s Strategic Skills Fellowship Panel and President of the Royal Statistical Society. Together with Professors Paula Williamson and Robin Henderson, he led the previous MRC funded project JoineR.
Professor Cheng-Hock Toh is a clinical academic with an interest in haemostasis & thrombosis. His clinical and research work is directed from the Roald Dahl Haemostasis & Thrombosis Centre in Liverpool, which is where he is primarily focussed on how coagulation abnormalities affect patient outcome and how its re-equilibration can lead to clinical improvement. Professor Toh is the President of the Scientific and Standardization Committee for the International Society on Thrombosis & Haemostasis
Professor Sir Munir Pirmohamed's main area of research is in pharmacogenetics and drug safety. Professor Pirmohamed is the Head of the Department of Molecular and Clinical Pharmacology, University of Liverpool. He is the Deputy Director of the MRC Centre for Drug Safety Sciences, and Director of the Wolfson Centre for Personalised Medicine. Professor Pirmohamed holds the only NHS chair in pharmacogenetics. Professor Pirmohamed's received a Knights Bachelor in the Queen’s Birthday Honours List 2015
Research Associate (JoineRML, Aug 2015- May 2018)
Graeme has a wide range of experience in both methodological and applied statistics in health. He is particularly interested in Bayesian modelling, risk prediction and joint modelling. He is employed on the MRC funded project Joint modelling of multivariate longitudinal and event time outcomes in clinical research, and developing the joineRML package.
Dr Maria Sudell
PhD student (2014-2018) & MRC Skills Development Fellow (2018-)
Maria undertook a PhD from 2014-2018 on the topic of Meta-Analysis of Joint Longitudinal and Time-to-Event Data. This included examination of possible model structures to account for heterogeneity in data from different studies, the benefits of joint model meta-analyses compared to separate longitudinal or time-to-event analyses, and whether the current reporting of joint models applied in the literature would allow a published data joint meta-analysis. She has now started a MRC Skills Development Fellowship to investigate joint modelling of longitudinal and time-to-event data in a network meta-analytic setting.
Mrs Adina Najwa Kamarudin
PhD Student (2014 - )
Adina is undertaking a PhD on the topic of Incorporating time-dimension in ROC curve methodology for censored event-time outcomes. The thesis is aimed to develop and apply novel ROC curve analysis approaches for evaluating the diagnostic efficacy of a biomarker at the baseline level. This includes ROC curves to account for time dependent event-times and measurement error in biomarker in semi-parametric modelling, and parametric ROC curves assuming combination of distributions for event-time and biomarker in parametric modelling.
PhD Student (2012-2016)
Matthew undertook a PhD on the topic of Joint modelling of Longitudinal and Dropout. The aim of this study was to implement statistical methodologies accounting for timing of informative patient dropout to assess the outcomes of patients followed longitudinally. Analysis of the incomplete longitudinal data poses additional challenges especially if patient dropout is nonignorable or informative, as the reasons for dropout are varied over studies and it is often difficult to justify the assumptions of missing completely at random.