Summary
I am a group leader working on data integration and analysis of hospital record data.
My recent research interests include:
- Analysis of hospital electronic health record data, particularly from eHospital (Epic) at Cambridge University Hospitals
- Simplifying Bayesian model building for complex systems using Markov melding
- Methods for modularisation of Bayesian models with cut distributions
- Compositional and modular methods for probabilistic programming languages, as part of the Turing’s Fundamental AI programme
- Methods for making prior specification more practical
- Bayesian methods for weighted data
- Bayesian longitudinal correlated factor analysis with dependent Gaussian processes
- Parallelisation of the general purpose Bayesian software MultiBUGS
Some of my software is on Github.
Current Members
Research Associates:
PhD students:
Teaching
- MPhil Population Health Sciences – Bayesian statistics
- Bayesian statistics short course: next running online Mon/Wed/Fri between 7th November 2025 – 21st November 2025. Booking now open via University of Cambridge Online Store. See the more information tab for details.
Committees
Recent Papers
- Manderson AA & Goudie RJB (in press) Translating predictive distributions into informative priors. Journal of the American Statistical Association. (arXiv version, R package, examples code)
- Pitt M & Goudie RJB* (2026) A Bayesian Prevalence Incidence Cure model for estimating survival using Electronic Health Records with incomplete baseline diagnoses. arXiv : 2602.00291.
- Cai J, Goudie RJB, Tom BDM (2026) Dynamic factor analysis for sparse and irregular longitudinal data: an application to metabolite measurements in a COVID-19 study. Statistics in Medicine. 45(6-7):e70499 (code)
- Illingworth CJR^, Yahiaoui G^, Butler M^, Brock RC, Peters C, Thaxter R, Evans S, Gouliouris T, Conway Morris A, Beggs CB, Vanoli E, Crawford C, Keevil VL*, Goudie RJB* (2025) The role of spatial distance in SARS-CoV-2 nosocomial transmission. Journal of Hospital Infection. 166:71-81
- DECOVID Consortium, ..., Goudie RJB*, ... (2025) DECOVID: A UK two-center harmonized database of acute care electronic health records for COVID-19 research. Data. 10:(12) 195 (code)
- Liu Y & Goudie RJB (2025) A general framework for cutting feedback within modularized Bayesian inference Journal of the Royal Statistical Society: Series B (Statistical Methodology) 87: (4) 1171–1199 (code)
- Papadopoulou A, Cowan SL, Preller J*, Goudie RJB* (2025) Validation of PREdiction of DELIRium in ICu patients (PRE-DELIRIC) model for ICU delirium in general ICU and patients with liver disease: A retrospective cohort study. Journal of Intensive Care: 13:33
- Brock RC, Goudie RJB, Peters C, Thaxter R, Gouliouris T, Illingworth CJR, Conway Morris A, Beggs CB, Butler M, Keevil VL. (2025) Efficacy of Air Cleaning Units for preventing SARS-CoV-2 and other hospital-acquired infections on medicine for older people wards: A quasi-experimental controlled before-and- after study. Journal of Hospital Infection: 155, 1-8
- Love C, Street A, Riddell E, Goudie RJB, Brock RC, Thaxter R, Gouliouris T, Conway Morris A, Beggs CB, Peters C, Butler MJ, Gould DJ, Keevil VL (2025) Acceptability of Air Cleaning Units on Inpatient Wards: help for infection control or hindrance for ward occupants? Journal of Hospital Infection: 155, 254-256
- Cai J, Goudie RJB, Starr C, Tom BDM (2024) Dynamic factor analysis with dependent Gaussian processes for high-dimensional gene expression trajectories Biometrics 80: (4) ujae131 (R package)
- Liu Y & Goudie RJB (2024) Generalized geographically weighted regression model within a modularized Bayesian framework Bayesian Analysis : 19:(2) 465-500. (code)
- Manderson AA & Goudie RJB (2023) Combining chains of Bayesian models with Markov melding Bayesian Analysis 18: (3) 807-840 (code)
- La Torrea G, Nagraa R, Wijesinghe H, Rajeswaran G, Riya J, Abdulkhaliq S, Barker T, Ganeshan A, Goudie RJB, Hosaam N, Tiwari A, & Juszczak MT (2023) Prevalence of venous thromboembolism in patients undergoing diagnostic venous ultrasound during the first SARS-CoV-2 pandemic Vasa 52: (2) 97-106
