activity
20172025
most citedBivariate network meta-analysis for surrogate endpoint evaluation

31 citations · 64 across the 16 of their papers we have counts for

collaborators

16 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.ME2025★ 1 cited

Methods of multi-indication meta-analysis for health technology assessment: a simulation study

David Glynn, Pedro Saramago, Janharpreet Singh +4

A growing number of oncology treatments, such as bevacizumab, are used across multiple indications. However, in health technology assessment (HTA), their clinical and cost-effectiv…

stat.AP2025

Visualisation of multi-indication randomised control trial evidence to support decision-making in oncology: a case study on bevacizumab

Sumayya Anwer, Janharpreet Singh, Sylwia Bujkiewicz +7

Background: Evidence maps have been used in healthcare to understand existing evidence and to support decision-making. In oncology they have been used to summarise evidence within…

stat.AP2024★ 7 cited

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.AP2023

Multi-indication evidence synthesis in oncology health technology assessment

Janharpreet Singh, Sumayya Anwer, Stephen Palmer +5

Background: Cancer drugs receive licensing extensions to include additional indications as trial evidence on treatment effectiveness accumulates. We investigate how sharing informa…

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…