activity
20222024
most citedJoint modelling of longitudinal and time-to-event data applied to group sequential clinical trials

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2024

Next generation clinical trials: Seamless designs and master protocols

Abigail Burdon, Thomas Jaki, Xijin Chen +3

Background: Drug development is often inefficient, costly and lengthy, yet it is essential for evaluating the safety and efficacy of new interventions. Compared with other disease…

stat.ME2024

Multivariate group sequential tests for global summary statistics

Abigail J. Burdon, Thomas Jaki

We describe group sequential tests which efficiently incorporate information from multiple endpoints allowing for early stopping at pre-planned interim analyses. We formulate a tes…

stat.ME2023

The use of restricted mean survival time to estimate treatment effect under model misspecification, a simulation study

Emily Alger, David S. Robertson, Abigail J. Burdon

The use of the non-parametric Restricted Mean Survival Time endpoint (RMST) has grown in popularity as trialists look to analyse time-to-event outcomes without the restrictions of…

stat.ME2023

Adaptive enrichment trial designs using joint modeling of longitudinal and time-to-event data

Abigail J. Burdon, Richard D. Baird, Thomas Jaki

Adaptive enrichment allows for pre-defined patient subgroups of interest to be investigated throughout the course of a clinical trial. Many trials which measure a long-term time-to…

stat.ME2022★ 2 cited

Joint modelling of longitudinal and time-to-event data applied to group sequential clinical trials

Abigail J. Burdon, Lisa V. Hampson, Christopher Jennison

Often in Phase 3 clinical trials measuring a long-term time-to-event endpoint, such as overall survival or progression-free survival, investigators also collect repeated measures o…