Professor Jessica Barrett
(she/her)About Professor Jessica Barrett
I am a Group Leader at the MRC Biostatistics Unit.
My research centres on developing statistical methodology for modelling complex multi-outcome data, particularly the statistical challenges of using electronic health records for prediction modelling. My research is motivated by clinical applications including cystic fibrosis, cardiovascular disease and multimorbidity.
Publications
Showing 1 to 10 of 70 publications
Moving out: The impact of leaving the parental home on diet quality trajectories among Australian adolescents and young adults (14-27 years).
Authors: T Braune, JK Barrett, J Adams, EM Winpenny
Journal: Health Place
DOI: 10.1016/j.healthplace.2026.103651
A Bayesian Location-Scale Joint Model for Time-To-Event and Multivariate Longitudinal Data With Association Based on Within-Individual Variability.
Authors: M Palma, O El Makkaoui, RH Keogh, SB Carr, R Szczesniak, D Taylor-Robinson, AM Wood, G Muniz-Terrera, JK Barrett
Journal: Stat Med
DOI: 10.1002/sim.70596
A Bayesian joint model of multiple longitudinal and categorical outcomes with application to multiple myeloma using permutation-based variable importance
Authors: D Alvares, JK Barrett, F Mercier, J Schulze, S Yiu, F Castro, S Roumpanis, Y Zhu
Published:
Journal: The Annals of Applied Statistics
DOI: 10.1214/25-aoas2086
Assessing the impact of variance heterogeneity and misspecification in mixed-effects location-scale models.
Authors: V Jeanselme, M Palma, J Barrett
Published:
Journal: BMC Med Res Methodol
DOI: 10.1186/s12874-025-02755-3
Mendelian Randomization With Longitudinal Exposure Data: Simulation Study and Real Data Application.
Authors: J Pott, M Palma, Y Liu, JA Mack, U Sovio, GCS Smith, J Barrett, S Burgess
Journal: Stat Med
DOI: 10.1002/sim.70378
A Bayesian location-scale joint model for time-to-event and multivariate longitudinal data with association based on within-individual variability
Authors: M Palma, RH Keogh, SB Carr, R Szczesniak, D Taylor-Robinson, AM Wood, G Muniz-Terrera, JK Barrett
Published:
DOI: 10.48550/arxiv.2503.12270
A Bayesian Joint Model of Multiple Nonlinear Longitudinal and Competing Risks Outcomes for Dynamic Prediction in Multiple Myeloma: Joint Estimation and Corrected Two-Stage Approaches.
Authors: D Alvares, JK Barrett, F Mercier, S Roumpanis, S Yiu, F Castro, J Schulze, Y Zhu
Published:
Journal: Stat Med
DOI: 10.1002/sim.10322
Mendelian Randomization with longitudinal exposure data: simulation study and real data application
Authors: J Pott, M Palma, Y Liu, JA Mack, U Sovio, GCS Smith, J Barrett, S Burgess
DOI: 10.1101/2025.04.25.25326352
Optimal risk assessment intervals for primary prevention of cardiovascular disease: a population-based two-stage landmarking study.
Authors: Z Gu, F Gasperoni, E Paige, M Sweeting, J Usher-Smith, K Poppe, D Stevens, M Arnold, E Di Angelantonio, AM Wood, JK Barrett
Journal: BMJ Public Health
DOI: 10.1136/bmjph-2024-001241
Bayesian shared parameter joint models for heterogeneous populations
Authors: S Chen, D Alvares, M Palma, JK Barrett
Published: