10 citations · 18 across the 5 of their papers we have counts for
5 papers
Use of surrogate endpoints in health technology assessment: a review of selected NICE technology appraisals in oncology
Lorna Wheaton, Sylwia Bujkiewicz
Objectives: Surrogate endpoints, used to substitute for and predict final clinical outcomes, are increasingly being used to support submissions to health technology assessment agen…
Individual participant data from digital sources informed and improved precision in the evaluation of predictive biomarkers in Bayesian network meta-analysis
Chinyereugo M Umemneku-Chikere, Lorna Wheaton, Heather Poad +7
Objective: We aimed to develop a meta-analytic model for evaluation of predictive biomarkers and targeted therapies, utilising data from digital sources when individual participant…
Bayesian meta-analysis for evaluating treatment effectiveness in biomarker subgroups using trials of mixed patient populations
Lorna Wheaton, Dan Jackson, Sylwia Bujkiewicz
During drug development, evidence can emerge to suggest a treatment is more effective in a specific patient subgroup. Whilst early trials may be conducted in biomarker-mixed popula…
Bridging disconnected networks of first and second lines of biologic therapies in rheumatoid arthritis with registry data: Bayesian evidence synthesis with target trial emulation
Sylwia Bujkiewicz, Janharpreet Singh, Lorna Wheaton +4
Objective: We aim to utilise real world data in evidence synthesis to optimise an evidence base for the effectiveness of biologic therapies in rheumatoid arthritis in order to allo…
Using Bayesian Evidence Synthesis Methods to Incorporate Real World Evidence in Surrogate Endpoint Evaluation
Lorna Wheaton, Anastasios Papanikos, Anne Thomas +1
Objective: Traditionally validation of surrogate endpoints has been carried out using RCT data. However, RCT data may be too limited to validate surrogate endpoints. In this paper,…