Dr Amardeep Legha BSc, MSc, PhD

Institute of Applied Health Research
Research Fellow in Biostatistics

Contact details

Email: a.legha@bham.ac.uk

Address: Public Health Building
University of Birmingham
Edgbaston
Birmingham
B15 2TT

Amardeep is a Research Fellow based in the Biostatistics, Evidence Synthesis, Test Evaluation and Modelling (BESTEAM) team at the University of Birmingham.

Amardeep’s current main focus is on prediction modelling methodology projects with an application to machine learning. He recently graduated with a PhD at Keele University and has also previously held a NIHR Research Methods Fellowship. Amardeep has prior experience in application of systematic reviews and IPD meta-analysis, latent class analysis methods, and analysing electronic healthcare records.

ORCiD ID: 0000-0001-7389-5384

Qualifications

PhD “Trajectories of work absence in England due to a musculoskeletal or mental health condition: an electronic health record study”, Keele University, 2024
MSc Medical Statistics, University of Leicester, 2016
BSc Mathematics, Imperial College London, 2011

Teaching

Amardeep teaches on the ‘Systematic Reviews and Evidence Synthesis’ and ‘Epidemiology Statistics and Research Methods’ modules as part of the Masters in Public Health.

Amardeep also contributes to the delivery of CPD courses, for example, leading the design and delivery of a practical session on the pre-YSM course: ‘An Introduction to Risk Prediction Models & Sample Size Calculations for Development & Validation’ (June 2024), and assisting in the running of an IPD meta-analysis CPD course (October 2024).

Doctoral research

PhD title: Trajectories of work absence in England due to a musculoskeletal or mental health condition: an electronic health record study.

Publications

Recent publications

Article

Riley, RD, Legha, A, Jackson, D, Morris, TP, Ensor, J, Snell, KIE, White, IR & Burke, DL 2020, 'One-stage individual participant data meta-analysis models for continuous and binary outcomes: Comparison of treatment coding options and estimation methods', Statistics in Medicine, vol. 39, no. 19, pp. 2536-2555. https://doi.org/10.1002/sim.8555

Legha, A, Riley, RD, Ensor, J, Snell, KIE, Morris, TP & Burke, DL 2018, 'Individual participant data meta-analysis of continuous outcomes: A comparison of approaches for specifying and estimating one-stage models', Statistics in Medicine, vol. 37, no. 29, pp. 4404-4420. https://doi.org/10.1002/sim.7930, https://doi.org/10.1002/sim.v37.29

Review article

Holden, MA, Burke, DL, Runhaar, J, Van der windt, D, Riley, RD, Dziedzic, K, Legha, A, Evans, AL, Abbott, JH, Baker, K, Brown, J, Bennell, KL, Bossen, D, Brosseau, L, Chaipinyo, K, Christensen, R, Cochrane, T, De rooij, M, Doherty, M, French, HP, Hickson, S, Hinman, RS, Hopman-Rock, M, Hurley, MV, Ingram, C, Knoop, J, Krauss, I, Mccarthy, C, Messier, SP, Patrick, DL, Sahin, N, Talbot, LA, Taylor, R, Teirlinck, CH, Van middelkoop, M, Walker, C & Foster, NE 2017, 'Subgrouping and TargetEd Exercise pRogrammes for knee and hip OsteoArthritis (STEER OA): a systematic review update and individual participant data meta-analysis protocol', BMJ open, vol. 7, no. 12, e018971. https://doi.org/10.1136/bmjopen-2017-018971

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