Probabilistic relabelling strategies for the label switching problem in Bayesian mixture models. - Matthew Sperrin; Thomas Jaki; Ernst Wit (Stat. Comput., 2010)

Recovering Independent Associations in Genetics: A Comparison. - Matthew Sperrin; Thomas Jaki (J. Comput. Biol., 2012)

e-Labs and the Stock of Health Method for Simulating Health Policies. - Philip A. Couch; Martin O'Flaherty; Matthew Sperrin; Benjamin Green 002; Panagiotis Balatsoukas; Stephen Lloyd; James McGrath; Claudia Soiland-Reyes; John D. Ainsworth; Simon Capewell; Iain E. Buchan (MedInfo, 2013)

Making Audit Actionable: An Example Algorithm for Blood Pressure Management in Chronic Kidney Disease. - Benjamin Brown 001; Richard Williams 001; Matthew Sperrin; Timothy Frank; John D. Ainsworth; Iain E. Buchan (AMIA, 2014)

A Two-stage Dynamic Model to Enable Updating of Clinical Risk Prediction from Longitudinal Health Record Data: Illustrated with Kidney Function. - Artur Akbarov; Richard Williams 001; Benjamin Brown 001; Mamas Mamas; Niels Peek; Iain E. Buchan; Matthew Sperrin (MedInfo, 2015)

Development and preliminary validation of a dynamic, patient-tailored method to detect abnormal laboratory test results. - Paolo Fraccaro; Benjamin Brown 001; Mattia Prosperi; Matthew Sperrin; Iain E. Buchan; Niels Peek (MedInfo, 2015)

Estimating Mutual Information in Under-Reported Variables. - Konstantinos Sechidis; Matthew Sperrin; Emily Petherick; Gavin Brown 001 (Probabilistic Graphical Models, 2016)

Tilting the lasso by knowledge-based post-processing. - Kukatharmini Tharmaratnam; Matthew Sperrin; Thomas Jaki; Sjur Reppe; Arnoldo Frigessi (BMC Bioinform., 2016)

Interface design recommendations for computerised clinical audit and feedback: Hybrid usability evidence from a research-led system. - Benjamin Brown 001; Panos Balatsoukas; Richard Williams 001; Matthew Sperrin; Iain E. Buchan (Int. J. Medical Informatics, 2016)

Understanding clinical prediction models as 'innovations': a mixed methods study in UK family practice. - Benjamin Brown 001; Sudeh Cheraghi-Sohi; Thomas Jaki; Ting-Li Su 002; Iain E. Buchan; Matthew Sperrin (BMC Medical Informatics Decis. Mak., 2016)

Dealing with under-reported variables: An information theoretic solution. - Konstantinos Sechidis; Matthew Sperrin; Emily Petherick; Mikel Luján; Gavin Brown 001 (Int. J. Approx. Reason., 2017)

Human activity recognition from inertial sensor time-series using batch normalized deep LSTM recurrent networks. - Tahmina Zebin; Matthew Sperrin; Niels Peek; Alexander J. Casson (EMBC, 2018)

Multi-method laboratory user evaluation of an actionable clinical performance information system: Implications for usability and patient safety. - Benjamin Brown 001; Panos Balatsoukas; Richard Williams 001; Matthew Sperrin; Iain E. Buchan (J. Biomed. Informatics, 2018)

Digital biomarkers from geolocation data in bipolar disorder and schizophrenia: a systematic review. - Paolo Fraccaro; Anna L. Beukenhorst; Matthew Sperrin; Simon Harper; Jasper Palmier-Claus; Shôn Lewis; Sabine N. van der Veer; Niels Peek (J. Am. Medical Informatics Assoc., 2019)

Explicit causal reasoning is needed to prevent prognostic models being victims of their own success. - Matthew Sperrin; David A. Jenkins; Glen P. Martin; Niels Peek (J. Am. Medical Informatics Assoc., 2019)

Towards a Framework for the Design, Implementation and Reporting of Methodology Scoping Reviews. - Glen P. Martin; David A. Jenkins; Lucy Bull; Rose Sisk; Lijing Lin; William Hulme; Anthony Wilson; Wenjuan Wang; Michael Barrowman; Camilla Sammut-Powell; Alexander Pate; Matthew Sperrin; et al. (CoRR, 2020)

Examining the impact of data quality and completeness of electronic health records on predictions of patients' risks of cardiovascular disease. - Yan Li; Matthew Sperrin; Glen P. Martin; Darren M. Ashcroft; Tjeerd Pieter van Staa (Int. J. Medical Informatics, 2020)

Causal inference and counterfactual prediction in machine learning for actionable healthcare. - Mattia Prosperi; Yi Guo 005; Matthew Sperrin; James S. Koopman; Jae S. Min; Xing He 003; Shannan N. Rich; Mo Wang; Iain E. Buchan; Jiang Bian 001 (Nat. Mach. Intell., 2020)

Inconsistencies in handling missing data across stages of prediction modelling: a review of methods used. - Antonia Tsvetanova; Glen P. Martin; Matthew Sperrin; Niels Peek; Iain E. Buchan; Stephanie L. Hyland (AMIA, 2021)

Informative presence and observation in routine health data: A review of methodology for clinical risk prediction. - Rose Sisk; Lijing Lin; Matthew Sperrin; Jessica K. Barrett; Brian D. M. Tom; Karla Diaz-Ordaz; Niels Peek; Glen P. Martin (J. Am. Medical Informatics Assoc., 2021)

Adaptive Symptom Monitoring Using Hidden Markov Models - An Application in Ecological Momentary Assessment. - William Hulme; Glen P. Martin; Matthew Sperrin; Alexander J. Casson; Sandra Bucci; Shôn Lewis; Niels Peek (IEEE J. Biomed. Health Informatics, 2021)

Quantifying the problem of inconsistent missing data handling across the pipeline of Clinical Prediction Models: A simulation study. - Antonia Tsvetanova; Matthew Sperrin; Niels Peek; Iain E. Buchan; Stephanie L. Yland; Glen P. Martin (AMIA, 2022)

DeepJoint: Robust Survival Modelling Under Clinical Presence Shift. - Vincent Jeanselme; Glen P. Martin; Niels Peek; Matthew Sperrin; Brian D. M. Tom; Jessica K. Barrett (CoRR, 2022)

Comparing Predictive Performance of Time Invariant and Time Variant Clinical Prediction Models in Cardiac Surgery. - David A. Jenkins; Glen P. Martin; Matthew Sperrin; Benjamin Brown 001; Linda Kimani; Stuart Grant; Niels Peek (MedInfo, 2023)

Applying Team Science to Collaborative Digital Health Research: Learnings from the Wearable Clinic. - Niels Peek; Charlotte Stockton-Powdrell; Alexander J. Casson; Matthew Sperrin; Bijan Parsia; Andrea Manca; Cynthia Iglesias; Ibrahim Habli; Lamiece Hassan; Steven Antrobus; Matthew Machin (MedInfo, 2023)

Compatibility in Missing Data Handling Across the Prediction Model Pipeline: A Simulation Study. - Antonia Tsvetanova; Matthew Sperrin; David A. Jenkins; Niels Peek; Iain E. Buchan; Stephanie L. Hyland; Glen P. Martin (MedInfo, 2023)

Investigating fair data acquisition for risk prediction in resource-constrained settings. - Ioanna Thoma; Elisabeth Abhayaratna; Matthew Sperrin; Karla Diaz-Ordaz; Ricardo Silva; Brieuc Lehmann (EWAF, 2025)

A systematic review of passive data for remote monitoring in psychosis and schizophrenia. - Siân Bladon; Emily Eisner; Sandra Bucci; Anuoluwapo Oluwatayo; Glen P. Martin; Matthew Sperrin; John D. Ainsworth; Sophie Faulkner (npj Digit. Medicine, 2025)