23 citations · 48 across the 12 of their papers we have counts for
13 papers
Dynamic Factor Analysis with Dependent Gaussian Processes for High-Dimensional Gene Expression Trajectories
Jiachen Cai, Robert J. B. Goudie, Colin Starr +1
The increasing availability of high-dimensional, longitudinal measures of gene expression can facilitate understanding of biological mechanisms, as required for precision medicine.…
Patient stratification in multi-arm trials: a two-stage procedure with Bayesian profile regression
Yuejia Xu, Angela M. Wood, Brian D. M. Tom
Precision medicine is an emerging field that takes into account individual heterogeneity to inform better clinical practice. In clinical trials, the evaluation of treatment effect…
Sequential Re-estimation Learning of Optimal Individualized Treatment Rules Among Ordinal Treatments with Application to Recommended Intervals Between Blood Donations
Yuejia Xu, Angela M. Wood, David J. Roberts +1
Personalized medicine has gained much popularity recently as a way of providing better healthcare by tailoring treatments to suit individuals. Our research, motivated by the UK INT…
A comparison of two frameworks for multi-state modelling, applied to outcomes after hospital admissions with COVID-19
Christopher Jackson, Brian Tom, Peter Kirwan +5
We compare two multi-state modelling frameworks that can be used to represent dates of events following hospital admission for people infected during an epidemic. The methods are a…
Bayesian profile regression for clustering analysis involving a longitudinal response and explanatory variables
Anaïs Rouanet, Rob Johnson, Magdalena E Strauss +4
The identification of sets of co-regulated genes that share a common function is a key question of modern genomics. Bayesian profile regression is a semi-supervised mixture modelli…
Trends in risks of severe events and lengths of stay for COVID-19 hospitalisations in England over the pre-vaccination era: results from the Public Health England SARI-Watch surveillance scheme
Peter D. Kirwan, Suzanne Elgohari, Christopher H. Jackson +4
Background: Trends in hospitalised case-fatality risk (HFR), risk of intensive care unit (ICU) admission and lengths of stay for patients hospitalised for COVID-19 in England over…
A Bayesian framework for case-cohort Cox regression: application to dietary epidemiology
Andrew Yiu, Robert J. B. Goudie, Stephen J. Sharp +2
The case-cohort study design bypasses resource constraints by collecting certain expensive covariates for only a small subset of the full cohort. Weighted Cox regression is the mos…
The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young +93
We present the findings of "The Alzheimer's Disease Prediction Of Longitudinal Evolution" (TADPOLE) Challenge, which compared the performance of 92 algorithms from 33 international…
Clustered multi-state models with observation-level random effects, mover-stayer effects and dynamic covariates: Modelling transition intensities and sojourn times in a study of psoriatic arthritis
Sean Yiu, Vernon T. Farewell, Brian D. M. Tom
In psoriatic arthritis, it is important to understand the joint activity (represented by swelling and pain) and damage processes because both are related to severe physical disabil…
Two-part models with stochastic processes for modelling longitudinal semicontinuous data: computationally efficient inference and modelling the overall marginal mean
Sean Yiu, Brian Tom
Several researchers have described two-part models with patient-specific stochastic processes for analysing longitudinal semicontinuous data. In theory, such models can offer great…
Efficient real-time monitoring of an emerging influenza epidemic: how feasible?
Paul J Birrell, Lorenz Wernisch, Brian D M Tom +4
A prompt public health response to a new epidemic relies on the ability to monitor and predict its evolution in real time as data accumulate. The 2009 A/H1N1 outbreak in the UK rev…
Synthesising evidence to estimate pandemic (2009) A/H1N1 influenza severity in 2009-2011
Anne M. Presanis, Richard G. Pebody, Paul J. Birrell +5
Knowledge of the severity of an influenza outbreak is crucial for informing and monitoring appropriate public health responses, both during and after an epidemic. However, case-fat…
Maximum likelihood and pseudo score approaches for parametric time-to-event analysis with informative entry times
Brian D. M. Tom, Vernon T. Farewell, Sheila M. Bird
We develop a maximum likelihood estimating approach for time-to-event Weibull regression models with outcome-dependent sampling, where sampling of subjects is dependent on the resi…