3 papers
stat.AP2024
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…
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…