Cluster Hidden Markov Models: An Application to Ecological Momentary Assessment of Schizophrenia. - William Hulme; Charlotte Stockton-Powdrell; Shôn Lewis; Glen P. Martin; Sandra Bucci; Bijan Parsia; Alexander J. Casson; Ibrahim Habli; Niels Peek (CBMS, 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)

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)

Ranking sets of morbidities using hypergraph centrality. - James Rafferty; Alan J. Watkins; Jane Lyons; Ronan A. Lyons; Ashley Akbari; Niels Peek; Farideh Jalali-najafabadi; Thamer Ba Dhafari; Alexander Pate; Glen P. Martin; Rowena Bailey (J. Biomed. Informatics, 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)

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)

External validation of the computer aided risk scoring system in predicting in-hospital mortality following emergency medical admissions. - Viveck Kingsley; Lisa Fox; David Simm; Glen P. Martin; Wendy Thompson; Muhammad Faisal 002 (Int. J. Medical Informatics, 2024)

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)