Catrin Plumpton

Image of Catrin PlumptonCatrin is a Research Fellow in pharmacoeconomics at the Centre for Health Economics and Medicines Evaluation, with a background in mathematics and computing. Her main research focus and interests include cost effectiveness modelling and methodology. Catrin holds an MMath degree and an MSc in Computer Systems from the University of Wales, Bangor, and completed her PhD on classification methods for fMRI data in 2011.

Catrin joined CHEME in 2010 as a Research Officer in Medical Statistics. Initial projects were the European funded FP7 adherence to medications ‘ABC’ project where she was responsible for developing methodology to handle missing survey data, and a discrete choice experiment study of preferences for Stroke services in North Wales. Since then Catrin has worked on several economic modelling projects in the area of Epilepsy, including models of pharmacogenetic testing prior to initiation of Carbamazepine, of an adherence enhancing intervention, and of generic versus branded prescribing. As part of her work on epilepsy Catrin also works on the Standard and New Antiepileptic Drug 2 (SANAD2) randomised controlled trial. Catrin provides support and advice to other team members on statistical and methodological aspects of their projects, and is a health economics frontline advisor to the North West Research Design Service (RDS-NW).

Journal Publications

Plumpton CO, Roberts D, Pirmohamed M, Hughes DA. A Systematic Review of Economic Evaluations of Pharmacogenetic Testing for Prevention of Adverse Drug Reactions 2016. doi: 10.1007/s40273-016-0397-9

Hughes D, Charles J, Dawoud D, Edwards RT, Holmes E, Jones C, Parham P, Plumpton C, Ridyard C, Lloyd-Williams H, Wood E, Yeo ST. Conducting Economic Evaluations Alongside Randomised Trials: Current Methodological Issues and Novel Approaches. Pharmacoeconomics 2016. doiL 10.1007/s40273-015-0371-y

Plumpton C, Morris T, Hughes D, White I. Multiple imputation of multiple multi-item scales when a full imputation model is infeasible. BMC Research Notes. 2016; 9:45

Powell G, Holmes EA, Plumpton CO, Ring A, Baker GA, Jacoby A, Pirmohamed M, Marson AG, Hughes DA. Pharmacogenetic testing prior to carbamazepine treatment of epilepsy: patients' and physicians' preferences for testing and service delivery. Br J Clin Pharmacol 2015. 80(5): 1149-59. doi: 10.1111/bcp.12715

Lötsch F, Hackenberg LA, Groger M, Rehman K, Morrison V, Holmes E, Parveen S, Plumpton C, Clyne W, de Geest S, Dobbels F, Vrijens B, Kardas P, Hughes D, Ramharter M. Adherence of patients to long-term medication: A cross sectional study of antihypertensive regimens in Austria. Winer Klinische Wochenschrift 2015.

Plumpton CO, Brown I, Reuber M, Marson T,Hughes DA. Economic evaluation of a behavior-modifying intervention to enhance antiepileptic drug adherence, Epilepsy Behavior 2015, 45: 180-186

Plumpton CO, Yip VLM, Alfirevic A, Marson AG, Pirmohamed M, Hughes DA, Cost effectiveness of screening for HLA-A*31:01 prior to initiation of Carbamazepine in epilepsy. Epilepsia 2015, 56(4): 556-563

Morrison VL, Holmes EAF, Parveen S, Plumpton C, Clyne W, De Geest S, Dobbels F, Vrijens B, Kardas P, Hughes D. Predictors of self-reported adherence to antihypertensive medicines: A multi-national, cross-sectional survey. Value in Health 2015, 18: 206-216.

Burton CR, Fargher E, Plumpton C, Roberts GW, Owen H, Roberts E. Investigating preferences for support with life after stroke: a discrete choice experiment. BMC Health Services Research 2014, 14(1):63

Plumpton CO. Semi-Supervised Ensemble Update Strategies for On-line Classification of fMRI Data. Pattern Recognition Letters, 2014 37: 172–177

Holmes E, Plumpton C, Duerden M, Marson T, Hughes D. New advice on switching antiepileptic drugs might be a false economy. BMJ 2013;347:f7471

Plumpton CO, Kuncheva LI, Oosterhof NN, Johnston SJ, Naive random subspace ensemble with linear classifiers for real-time classification of fMRI data, Pattern Recognition 2012, 45(6): 2101-2108

Kuncheva LI, Rodrguez JJ, Plumpton CO, Linden DEJ, Johnston SJ. Random subspace ensembles for fMRI classification. IEEE Transaction on Medical Imaging 2010, 29:531–42

Morrison V, Parveen S, Fargher E, Plumpton C, Hughes D.  A multi-national survey of non-adherence by patients prescribed medication for hypertension.  International Journal of Behavioural Medicine 2012, 19(Suppl 1):S318.


Burton C, Fargher E, Plumpton C, Roberts G, Owen H, Roberts E. Service user preference for Stroke services (SUPSS) Final report prepared for National Institute for Social Care and Health Research Project Reference SC09/14.  January 2013

Andrezejcyk A, Clyne W, De Geest S, Demonceau J, Dobbels F, Fargher E, Hughes D, Kardas P, Lewek P, Matyjaszczyk M, McLachlan S, Morrison V, Mshelia C, Parveen S, Piaszczynska A, Plumpton C, Ruppar T, Siebens K, Urquhart J, Vrijens B, White S. Ascertaining barriers for compliance: Policies for safe, effective and cost-effective use of medicines in Europe. Final report of the ABC Project (Deliverable 7.1) June 2012

Published abstracts and proceedings

Plumpton CO, Reuber M, Brown I, Marson A, Hughes D Challenges in conducting economic evaluation informed by Cochrane Reviews: case study of adherence in epilepsy. Cochrane Database Syst Rev 2014. Suppl 1-150: 65-66

Plumpton CO, Hughes DA, White IR. Multiple Imputation Techniques for Survey Data with Multiple Rating Scales Value in Health 2013; 16(7): A611.

Plumpton CO, Yip V, Alfirevic A, Marson A, et al. Cost Effectiveness of Pharmacogenetic Screening Prior to Initiation of Carbamazepine Treatment for Epilepsy Value in Health 2013; 16(7): A624.

Fargher EA, Plumpton CO, Roberts GW, Owen H, Burton CR.  User Preferences for Stroke Services in Wales.  Value in Health 2013; 16(7): A534.

Fargher EA, Morrison V, Plumpton CO, Hughes DA.  Persistence with Medications : A Discrete Choice Experiment of Preferences Among Hypertensive Patients.  Value in Health 2013; 16(7): A352.

Fargher EA, Morrison V, Plumpton CO, Hughes DA.  Application of Behavioural Economics to the Understanding of Adherence: Does an Individual ’s Time Preference Influence Adherence to Medications?  Value in Health 2013; 16(7): A327. 

Plumpton CO, Kuncheva LI, Linden DEJ, Johnston SJ. Online fMRI classification using linear and ensemble classifiers. In Proceedings  Pattern Recognition (ICPR), 20th International Conference on. 4312-4315, 2010.

Kuncheva LI, Plumpton CO. Choosing parameters for Random Subspace ensembles for fMRI classification. In Proceedings  LCNS, Multiple Classifier Systems. Eds Neamat El Gayar, Josef Kittler and Fabio Roli. 5997: 54-63, 2010

Plumpton CO. On-line Linear Discriminant Classifier and its Application to Delayed Labelling, MSc Thesis. VDM Verlag, 2009.

Kuncheva LI, Plumpton CO. Adaptive learning rate for online linear discriminant classifiers. In Proc. Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition S+SSPR, pages 510-519, Orlando, Florida, USA, 2008.

Invited talks

Online Semi-Supervised Ensemble Updates for fMRI Data. IAPR TC3 Workshop, Partially Supervised Learning.  Ulm, Germany, September 2011. Published in Proceedings LCNS, Partially Supervised Learning. Eds  Friedhelm Schwenker, and Edmondo Trentin. 7081: 8-18, 2012.