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David Packman

Research Assistant in Health Economic Modelling

01392 72 2144

South Cloisters 3.09

South Cloisters, University of Exeter, St Luke's Campus, Heavitree Road, Exeter, EX1 2LU, UK

Overview

David has a background in mathematical modelling and has carried out research in Applied Mathematics for demography within the Environment and Sustainability Institute at the University of Exeter, including on behalf of the Centre for Ecosystems, Society and Biosecurity of the Forest Research agency. He has also worked for the National Oceanography Centre of the University of Southampton, and collaborated with researchers there on a mathematical demography project funded by the Wellcome Trust.

Since joining PenTAG, David has worked as a health economic modeller on two Single Technology Assessments of treatment strategies for advanced non-small cell lung cancer and on a Diagnostic Assessment Review of biomarker tests for preterm term labour. He has participated in training courses in Health Economic Modelling at the University of Glasgow, with ScHARR at the University of Sheffield and at the University for Health Sciences, Medical Informatics and Technology in Austria. David has also represented PenTAG at NICE Technology Appraisal Committee meetings, at a NICE Consultation on the Technology Appraisal process and at the ISPOR 20th Annual European Congress.

Research

Publications

Key publications | Publications by category | Publications by year

Publications by category

Journal articles

Varley-Campbell J, Mujica Mota R, Coelho H, Ocean N, Barnish M, Packman D, Dodman S, Cooper C, Snowsill TM, Kay T, et al (2019). Three biomarker tests to help diagnose preterm labour: a systematic review and economic evaluation. Health Technology Assessment, 23(13). Full text.

Nicol‑Harper A, Dooley C, Packman D, Mueller M, Bijak J, Hodgson D, Townley S, Ezard T (2018). Inferring transient dynamics of human populations from matrix non-normality. Population Ecology Full text.

Conferences

Barnish M, Varley-Campbell J, Coelho H, Dodman S, Snowsill T, Mujica-Mota R, Packman D, Ocean N, Kay T, Liversedge N, et al (2018). Biomarker tests to help diagnose preterm labour in symptomatic women with intact membranes: a systematic review. Society for Social Medicine & Population Health ASM 2018.

Reports

Varley-Campbell J, Mujica-Mota R, Coelho H, Ocean N, Barnish M, Packman D, Dodman S, Cooper C, Snowsill T, Kay T, et al (2018). Biomarker tests to help diagnose preterm labour in women with intact membranes. NICE.

Griffin E, Barnish M, Packman D, Coelho H, Matthews J, Dodman S, Robinson S, Dangoor A, Dorey N, Hoyle M, et al (2018). Brigatinib for treating ALK-positive non-small-cell lung cancer after crizotinib: a Single Technology Appraisal. NICE.

Publications by year

2019

2018

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Teaching

David has achieved two professional accreditations for teaching as part of the Learning and Teaching in Higher Education Programme at the University of Exeter. He has prepared and delivered lectures and example classes in Mathematics for Engineering, as well as leading small group tutorials and assessing coursework. He has acted as a mentor for a Peer Assisted Learning scheme and held one-to-one tuition sessions in Mathematics and Statistics as part of the Academic Skills service at the University. He has also assisted with workshops for modules on the Fundamentals of Interdisciplinary Mathematics and the Principles of Medical Research.

Supervision / Group

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