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)

Neural Survival Clustering: Non-parametric mixture of neural networks for survival clustering. - Vincent Jeanselme; Brian D. M. Tom; Jessica K. Barrett (CHIL, 2022)

Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness. - Vincent Jeanselme; Maria De-Arteaga; Zhe Zhang; Jessica K. Barrett; Brian D. M. Tom (ML4H@NeurIPS, 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)

Neural Fine-Gray: Monotonic neural networks for competing risks. - Vincent Jeanselme; Chang Ho Yoon; Brian D. M. Tom; Jessica K. Barrett (CHIL, 2023)

Identifying treatment response subgroups in observational time-to-event data. - Vincent Jeanselme; Chang Ho Yoon; Fabian Falck; Brian D. M. Tom; Jessica K. Barrett (CoRR, 2024)

Competing Risks: Impact on Risk Estimation and Algorithmic Fairness. - Vincent Jeanselme; Brian D. M. Tom; Jessica K. Barrett (CoRR, 2025)

Prediction of Survival Outcomes under Clinical Presence Shift: A Joint Neural Network Architecture. - Vincent Jeanselme; Glen P. Martin; Matthew Sperrin; Niels Peek; Brian D. M. Tom; Jessica K. Barrett (CoRR, 2025)

Bayesian shared parameter joint models for heterogeneous populations. - Sida Chen; Danilo Alvares; Marco Palma; Jessica K. Barrett (Stat. Comput., 2025)