Dr Daniel Gallacher FHEA

Health Services Management Centre
Senior Research Fellow

Contact details

Email: d.c.gallacher@bham.ac.uk

Address: Health Services Management Centre
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Dan is a medical statistician with extensive experience in health technology assessment, having appraised submissions to NICE since 2017. He is a senior member of the Centre for Evidence and Implementation Science, and sits on NICE TA Committee B. He has led the CEIS NICE EAG for several years, making valuable contributions to the assessment of health technologies being appraised by NICE.

He is interested in applying novel methods to obtain robust and unbiased estimates of efficacy, applying techniques such as Target Trial Emulation, Advanced Survival Modelling, Multi-level Network Meta-Regression to answer important health questions and improve outcomes for patients and the wider population.

He is experienced in the analysis of clinical trial data and real-world data, with adjustments for treatment switching, missing data, indirect treatment comparisons and population adjustments.

Dan is open to collaborative research opportunities and potential PhD supervision.

Qualifications

PhD in Health Sciences, University of Warwick, 2023
MSc in Medical Statistics, University of Leicester, 2016
BSc in Mathematics, University of Reading, 2014

Biography

Dan began his research career at the University of Warwick. After a year in Warwick Clinical Trials Unit, Dan joined Warwick Evidence, one of NICE’s TAR teams. Dan remained in Warwick Evidence until the team’s move to University of Birmingham in January 2025, forming the Birmingham Centre for Evidence and Implementation Science.

Previously, Dan completed undergraduate and postgraduate studies at the University of Reading and the University of Leciester respectively. His PhD was completed whilst working full-time as a member of Warwick Evidence, evaluating the performance of routinely used methods of survival extrapolation to predict future survival through Monte Carlo simulation. He has extensive experience of critiquing company submissions and models, with a focus on the implementation of statistical methods into the economic model. He has particular interest in oncology appraisals.

Dan now leads the BCEIS TAR team, and is a member of NICE Technology Appraisal Committee B.

Postgraduate supervision

Dan is interested in supervising post-graduate projects which focus on methodology for economic evaluation, health technology assessment or survival extrapolation. Dan is also interested to supervise projects which will make a positive contribution to health outcomes and feature a large quantitative analysis element.

Research

Dan is primarily interested in robust and unbiased estimates of efficacy for health interventions to ultimately improve population health in a sustainable and cost-effective manner. Dan has vast experience in evaluating pharmaceutical products going through the NICE appraisal process, but is also interested in applying emerging methodologies such as multi-level network meta-regression, target trial emulation and Bayesian survival analysis to complex disease areas with unique data challenges such as problem gambling, learning difficulties and orthopaedic surgery.

Alongside this work, Dan has published original research and evidence syntheses across a range of areas including ventilation, orthopaedic surgery, screening, diagnostic tools and opioids use for osteoarthritis.

Dan was a co-investigator on the NIHR HTA grant investigating the evidence for innovative ventilation methods for adults and children (NIHR154798), and the NIHR HTA TAR award for appraising evidence related to health technologies (NIHR131964).

Publications

Recent publications

Article

Auguste, P, Ghiasvand, H, Geppert, J, Asgharzadeh, A, Brown, A, Patel, M, Gallacher, D, Helm, E, Taylor-Phillips, S, Chen, Y-F & Madan, J 2026, 'Cost-effectiveness of radiologist reading of chest CT scans assisted by software with artificial intelligence–derived algorithms for the detection and analysis of lung nodules', BJR|Artificial Intelligence, vol. 3, no. 1, ubag004. https://doi.org/10.1093/bjrai/ubag004

Grimsey Jones, F, Lovell, A, Stevens, S, Melendez-Torres, GJ, Barnish, MS, Perks, J, Lowe, J, Analysis of Individual Patient Utility Data collaborator group, Lee, D, Buchanan, V, Gallacher, D, Hatswell, A, Franklin, M & Marquez, E 2026, 'Developing Best Practice for Analyzing Individual Patient Utility Data in Health Technology Assessment: A Modified Delphi Study', Value in Health. https://doi.org/10.1016/j.jval.2026.05.016

Farhan-Alanie, MM, Gallacher, D, Craig, P, Griffin, J, Kozdryk, J, Mason, J, Wall, PDH, Wilkinson, JM, Metcalfe, A & Foguet, P 2025, 'Risk of Revision and Patient-Reported Outcomes Following Primary UKR Performed Using Computer Navigation or Patient-Specific Instrumentation: An Analysis of National Joint Registry Data', Journal of Bone and Joint Surgery. https://doi.org/10.2106/JBJS.24.01483

Geppert, J, Auguste, P, Asgharzadeh, A, Ghiasvand, H, Patel, M, Brown, A, Jayakody, S, Helm, E, Todkill, D, Madan, J, Stinton, C, Gallacher, D, Taylor-Phillips, S & Chen, YF 2025, 'Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation', Health technology assessment (Winchester, England), vol. 29, no. 14, pp. 1-234. https://doi.org/10.3310/JYTW8921

Farhan-Alanie, MM, Gallacher, D, Craig, P, Griffin, J, Kozdryk, J, Mason, J, Wall, PDH, Wilkinson, JM, Metcalfe, A & Foguet, P 2025, 'The effect of computer guided total hip replacement on risk of revision, Oxford Hip Score, and health related quality of life: an analysis of National Joint Registry data', European journal of orthopaedic surgery & traumatology : orthopedie traumatologie, vol. 36, no. 1, 51. https://doi.org/10.1007/s00590-025-04622-9

Farhan-Alanie, MM, Gallacher, D, Craig, P, Griffin, J, Kozdryk, J, Mason, J, Wall, PDH, Wilkinson, JM, Metcalfe, A & Foguet, P 2025, 'The Effects of Computer Navigation and Patient-Specific Instrumentation on Risk of Revision, PROMs, and Mortality Following Primary TKR: An Analysis of National Joint Registry Data', Journal of Bone and Joint Surgery, vol. 107, no. 8, pp. 829-839. https://doi.org/10.2106/JBJS.24.00589

Farhan-Alanie, MM, Jonas, SC, Gallacher, D, Whitehouse, MR & Chesser, TJS 2024, 'Fewer native and periprosthetic femoral fracture patients receive an orthogeriatric review and expedited surgery compared to hip fracture patients', HIP International, vol. 34, no. 2, pp. 281-289. https://doi.org/10.1177/11207000231198459

Geppert, J, Asgharzadeh, A, Brown, A, Stinton, C, Helm, EJ, Jayakody, S, Todkill, D, Gallacher, D, Ghiasvand, H, Patel, M, Auguste, P, Tsertsvadze, A, Chen, YF, Grove, A, Shinkins, B, Clarke, A & Taylor-Phillips, S 2024, 'Software using artificial intelligence for nodule and cancer detection in CT lung cancer screening: systematic review of test accuracy studies', Thorax, vol. 79, no. 11, pp. 1040-1049. https://doi.org/10.1136/thorax-2024-221662

Gallacher, D 2024, 'SurvInt: a simple tool to obtain precise parametric survival extrapolations', BMC Medical Informatics and Decision Making, vol. 24, no. 1, 76. https://doi.org/10.1186/s12911-024-02475-6

Comment/debate

Gallacher, D 2025, 'Reply to Comment on “Examining Consistency Across NICE Single Technology Appraisals: A Review of Appraisals for Paroxysmal Nocturnal Haemoglobinuria”', PharmacoEconomics. https://doi.org/10.1007/s40273-025-01499-8

Review article

Stevens, S, Barnish, MS, Lovell, A, Jones, FG, Perks, J, Melendez-Torres, GJ, Nikram, E, Hatswell, A, Marques, E, Franklin, M, Gallacher, D, Buchanan, V & Lee, D 2026, 'Methods for Analysing Patient-Level Utility Data: Insights from the Literature Review and Recent NICE Technology Appraisals', PharmacoEconomics. https://doi.org/10.1007/s40273-026-01644-x

Boulton, AJ, Elfeky, A, Court, R, Grove, A, Wilson, A, Auguste, P, Clayton, D, Gallacher, D, Goligher, EC, MacLeod Hall, C, McAuley, DF, Perkins, GD, Scholefield, BR, Thompson, M, Yeung, J, Chen, Y-F & Couper, K 2026, 'Technology-Enhanced Strategies to Optimize Positive End-Expiratory Pressure in Patients Receiving Invasive Mechanical Ventilation: A Systematic Review and Meta-Analysis', Critical care medicine, vol. 54, no. 7, pp. 1767-1778. https://doi.org/10.1097/CCM.0000000000007144

Donoghue, J, Youngs, M, Reeve, A, Vydyula, K, Kunst, N, Trikha, R & Gallacher, D 2025, 'Examining Consistency Across NICE Single Technology Appraisals: A Review of Appraisals for Paroxysmal Nocturnal Haemoglobinuria', PharmacoEconomics. https://doi.org/10.1007/s40273-025-01472-5

Elfeky, A, Boulton, A, Court, R, Grove, A, Basra, M, Clayton, D, Coverdale, G, Zulfiqar, M, MacLeod Hall, C, Auguste, P, Gallacher, D, Yeung, J, McAuley, DF, Perkins, GD, Scholefield, BR, Thompson, M, Chen, Y-F & Couper, K 2025, 'Innovative ventilation technologies used in the intensive care unit for adults and children: a scoping review [version 1; peer review: 2 approved with reservations]', NIHR Open Research, vol. 5, no. 1. https://doi.org/10.3310/nihropenres.13837.1

Farhan-Alanie, MM, Abdul-Hussein, M, Gallacher, D, Kumar, PR, Sahemey, R, Wall, PDH & Blankstein, M 2026, 'Revision for dislocation and all-causes following primary total hip replacement using 36-mm versus 32-mm femoral heads on polyethylene liners: a systematic review and meta-analysis', Archives of Orthopaedic and Trauma Surgery, vol. 146, no. 1, 146. https://doi.org/10.1007/s00402-025-06151-w

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