Ms Beth Hillier BSc, MSc

Bethany Hiller

Department of Applied Health Sciences
Research Fellow (Medical Statistician)

Contact details

Address
Department of Applied Health Sciences
Public Health Building
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Beth Hillier is a Medical Statistician based in the Biostatistics, Evidence Synthesis, Test Evaluation And prediction Modelling (BESTEAM) team. Her research interests primarily lie within diagnostic test evaluation, and her work is funded by the NIHR Birmingham BRC.

Qualifications

  • MSc (Distinction) in Medical Statistics, University of Leicester, 2022
  • NIHR Pre-Doctoral Fellowship Award, 2021-23
  • BSc (Hons) in Mathematics, University of Birmingham, 2019

Biography

Beth Hillier completed a BSc in Mathematics at the University of Birmingham in 2019. In her final year, she took a Medical Statistics module which served as a catalyst for her interest in a career in biostatistics. She further explored this interest through an internship at CRCTU, which allowed her to see the day-to-day work lives and tasks of clinical trial statisticians. Subsequently, she decided to read an MSc in Medical Statistics at the University of Leicester, graduating with a Distinction in 2022.

She was awarded an NIHR Pre-Doctoral Fellowship to fund her studies and to support her early-career professional development. Her MSc dissertation project focused on developing and validating predictive models for patient-reported outcomes using routinely collected primary care data from individuals recently diagnosed with type 2 diabetes mellitus in Leicester.

Since completing her studies in 2022, Beth has been working as a medical statistician in the BESTEAM team, contributing to a wide range of applied and methodological projects amongst inter-disciplinary teams. Her work has included umbrella reviews assessing the quality of prediction models for pressure injury occurrence, an evaluation of the efficacy of oral HPV detection methods (such as oral rinse), and a cross-sectional review of commercial direct-to-consumer self-tests available in the UK market.

Her recent research involves evaluating whether the use of lactate testing, alongside standard vital signs assessment, can improve the identification of maternal sepsis in low- and middle-income countries.

Beth is also engaged in methodological research on how medical tests should be evaluated. Are researchers conducting appropriate studies and trials to answer the questions they set out to address? Her work focuses on issues of applicability, particularly on how these concerns relate to study phases in test evaluation research (from early-phase to late-phase clinical studies). She is also investigating how to determine adequate sample sizes for evaluating outcomes beyond diagnostic accuracy, including clinical and patient-centred outcomes.

Alongside her research, Beth contributes to undergraduate and postgraduate teaching and is involved in the development and delivery of upcoming CPD courses.

Teaching

Undergraduate:

  • Medicine and Surgery MBChB

Postgraduate:

  • Public Health MPH

Continuing Professional Development (CPD):

  • Evaluating Medical Tests: How to assess whether a biomarker or diagnostic test is fit for purpose?
  • Systematic Reviews and meta-analysis of diagnostic test accuracy

Research

Research groups and centres
  • Biostatistics, Evidence Synthesis, Test Evaluation and prediction Modelling (BESTEAM)
  • Test and Prediction (TAP)

Publications

Recent publications

Article

Davenport, C, Richter, A, Hillier, B, Scandrett, K, Agarwal, R, Baldwin, SW, Kale, AU, Alderman, J, Macdonald, T & Deeks, JJ 2025, 'Direct-to-consumer self-tests sold in the UK in 2023: cross sectional review of information on intended use, instructions for use, and post-test decision making', BMJ, vol. 390, e085546. https://doi.org/10.1136/bmj-2025-085546

Hillier, B, Deeks, JJ, Alderman, J, Kale, AU, Macdonald, T, Baldwin, SW, Scandrett, K, Agarwal, R, Richter, A & Davenport, C 2025, 'Direct-to-consumer self-tests sold in the UK in 2023: cross sectional review of regulation and evidence of performance', BMJ, vol. 390 , e085547. https://doi.org/10.1136/bmj-2025-085547

Hillier, B, Waterboer, T, Brooks, J, Nankivell, P, Agarwal, R, Abou-Foul, A, Fulton-Lieuw, T, Kristunas, C, Vorsters, A, Cacciatore, P, Parish, J & Mehanna, H 2025, 'Efficacy of oral rinse and other detection methods in detecting oral human papillomavirus infections: the Oromouth cohort study', Journal of Infection. https://doi.org/10.1016/j.jinf.2025.106438

Martin, J, Scandrett, K, Easter, C, Whittle, R, Legha, A, Hillier, B, Thompson, J & Archer, L 2025, 'The Role of Generative AI in Data Analysis Assessments', Education in Practice, vol. 6, no. 1, pp. 107-116. <https://bham.sharepoint.com/sites/aseddev/Shared%20Documents/EiP%20Journal%20Vol%206.1/10_Martin_EIP_6.1%20Spring%202025.pdf?csf=1&web=1&e=zOUylv>

Review article

Hillier, B, Scandrett, K, Coombe, A, Hernandez-Boussard, T, Steyerberg, E, Takwoingi, Y, Velickovic, V & Dinnes, J 2025, 'Accuracy and clinical effectiveness of risk prediction tools for pressure injury occurrence: An umbrella review', PLoS Medicine, vol. 22, no. 2, e1004518. https://doi.org/10.1371/journal.pmed.1004518

Hillier, B, Scandrett, K, Coombe, A, Hernandez-Boussard, T, Steyerberg, E, Takwoingi, Y, Velickovic, V & Dinnes, J 2025, 'Risk prediction tools for pressure injury occurrence: An umbrella review of systematic reviews reporting model development and validation methods', Diagnostic and Prognostic Research, vol. 9, 2. https://doi.org/10.1186/s41512-024-00182-4

Dretzke, J, Abou-Foul, AK, Albon, E, Hillier, B, Scandrett, K, Price, MJ, Moore, DJ, Mehanna, H, Nankivell, P & PETNECK2 Research Team 2024, 'A systematic review of prognostic models for predicting recurrence and survival in patients with treated oropharyngeal cancer', BMJ open, vol. 14, no. 12, e090393. https://doi.org/10.1136/bmjopen-2024-090393

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