3 papers
stat.ME2026
Chained Markov melding using divide and conquer sequential Monte Carlo
Yixuan Liu, Robert J. B. Goudie
Specifying a full Bayesian model that integrates multiple data sources can be challenging. One natural approach is to specify each individual model separately and join them afterwa…
stat.ME2026
A Bayesian Prevalence Incidence Cure model for estimating survival using Electronic Health Records with incomplete baseline diagnoses
Matilda Pitt, Robert J. B. Goudie
Retrospective cohorts can be extracted from Electronic Health Records (EHR) to study prevalence, time until disease or event occurrence and cure proportion in real world scenarios.…
stat.ME2024
Dynamic factor analysis for sparse and irregular longitudinal data: an application to metabolite measurements in a COVID-19 study
Jiachen Cai, Robert J. B. Goudie, Brian D. M. Tom
It is of scientific interest to identify essential biomarkers in biological processes underlying diseases to facilitate precision medicine. Factor analysis (FA) has long been used…