Robert Goudie - MRC Biostatistics Unit

Research theme(s): Population Health
Role: MRC Investigator
Telephone number: 01223 330370
Email Address: robert.goudie@mrc-bsu.cam.ac.uk

I am a group leader (MRC Investigator) working on data integration and analysis of hospital record data.

My recent projects include:

Analysis of hospital electronic health record data, particularly from eHospital (Epic) at Cambridge University Hospitals [a, b, c, d, e, f, g, h]
Simplifying Bayesian model building for complex systems using Markov melding [a, b, c, d, e]
Methods for making prior specification more practical [a]
Methods for modularisation of Bayesian models with cut distributions [a, b, c]
Bayesian methods for weighted data [a, b]
Bayesian longitudinal correlated factor analysis with dependent Gaussian processes [a]
Parallelisation of the general purpose Bayesian software MultiBUGS [a]

PhD opportunity

Do get in touch if you are interested in PhD opportunities in any of my areas of interest (particularly analysis of minute-by-minute acute hospital EHR, and development of general Bayesian methodology)

Research Associates:

PhD students:

Jiachen Cai

Teaching:

Committees

University Research Ethics Committee
MRC Biostatistics Unit Graduate Education Committee

Some of my software is on Github. I occasionally tweet.

Selected Papers

Cai J, Goudie RJB, Starr C, Tom BDM (2023)
Dynamic factor analysis with dependent Gaussian processes for high-dimensional gene expression trajectories
arXiv : 2307.02781 (R package)

Manderson AA & Goudie RJB (2023)
Translating predictive distributions into informative priors
arXiv : 2303.08528 (R package, examples code)

Liu Y & Goudie RJB (in press)
Generalized geographically weighted regression model within a modularized Bayesian framework
Bayesian Analysis : (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

Liu Y & Goudie RJB (2022)
A general framework for cutting feedback within modularized Bayesian inference
arXiv : 2211.03274

Wiegand M*, Halsall DJ*, Cowan SL, Taylor K, Goudie RJB^, Preller J^, Gurnell M^ (2022)
Unquantifiably low aldosterone concentrations are prevalent in hospitalised COVID-19 patients but may not be revealed by chemiluminescent immunoassay
Endocrine Connections 11: (11) e220190

Zannidi D, Patel PS, Leventea E, Paciepnik J, Dobson F, Heyes C, Goudie RJB, Oude Griep LM, Preller J & Spillman LN (2022)
Factors associated with significant weight loss in hospitalised patients with COVID-19: a retrospective cohort study in a large teaching hospital
Nutrients 14: (19), 4195

Wiegand M, Cowan SL, Waddington CS, Halsall DJ, Keevil VL, Tom BDM, Taylor V, Gkrania-Klotsas E, Preller J & Goudie RJB (2022)
Development and validation of a dynamic 48-hour in-hospital mortality risk stratification for COVID-19 in a UK teaching hospital: a retrospective cohort study
BMJ Open 12: e060026 (code)

Carter B, Keevil VL, Anand A, Osuafor CN, Goudie RJB, Preller J, Lowry M, Clunie S, Shenkin SD, McCarthy K, Hewitt J, Quinn TJ (2022)
The prognostic and discriminatory utility of the Clinical Frailty Scale and Modified Frailty Index compared to age
Geriatrics 7: (5) 87

Nicholson G, Blangiardo M, Briers M, Diggle PJ, Fjelde TE, Ge H, Goudie RJB, Jersakova R, King RE, Lehmann BCL, Mallon A-M, Padellini T, Teh YW, Holmes C, Richardson, S (2022)
Interoperability of statistical models in pandemic preparedness: principles and reality
Statistical Science 37: (2) 183-206. (code)

Jupp PE, Goudie IBJ, Batchelor RA & Goudie RJB (2022)
Assessing seismic origin of geological features by fitting equidistant parallel lines
Journal of the Royal Statistical Society: Series C (Applied Statistics) 71: (3) 723-738 (code)

Manderson AA & Goudie RJB (2022)
A numerically stable algorithm for integrating Bayesian models using Markov melding
Statistics and Computing 32: 24 (code)

Liu Y & Goudie RJB (2022)
Stochastic Approximation Cut Algorithm for inference in modularized Bayesian models
Statistics and Computing 32: 7 (code)