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20212025
most citedUsing Bayesian Evidence Synthesis Methods to Incorporate Real World Evidence in Surrogate Endpoint Evaluation

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

stat.AP2025

Evaluating amyloid-beta as a surrogate endpoint in trials of anti-amyloid drugs in Alzheimer's disease: a Bayesian meta-analysis

Sa Ren, Janharpreet Singh, Sandro Gsteiger +8

The use of amyloid-beta (A) clearance to support regulatory approvals of drugs in Alzheimer's disease (AD) remains controversial. We evaluate A as a potential trial-level sur…

stat.ME2023

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…

stat.ME2023

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…

stat.AP20211 cited

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,…