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08/07/2023
Individual participant data from digital sources informed and improved precision in the evaluation of predictive biomarkers in Bayesian network meta-analysis
Objective: We aimed to develop a meta-analytic model for evaluation of p...
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06/06/2023
Bayesian meta-analysis for evaluating treatment effectiveness in biomarker subgroups using trials of mixed patient populations
During drug development, evidence can emerge to suggest a treatment is m...
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12/16/2021
Using Bayesian Evidence Synthesis Methods to Incorporate Real World Evidence in Surrogate Endpoint Evaluation
Objective: Traditionally validation of surrogate endpoints has been carr...
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04/04/2020
A novel approach to bivariate meta-analysis of binary outcomes and its application in the context of surrogate endpoints
Bivariate meta-analysis provides a useful framework for combining inform...
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10/24/2019
The use of registry data to extrapolate overall survival results from randomised controlled trials
Background: Pre-marketing authorisation estimates of survival are genera...
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05/17/2019
A Bayesian hierarchical meta-analytic method for modelling surrogate relationships that vary across treatment classes
Surrogate endpoints play an important role in drug development when they...
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09/09/2018
Combining tumour response and progression free survival as surrogate endpoints for overall survival in advanced colorectal cancer
Progression free survival (PFS) and tumour response (TR) have been inves...
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07/24/2018
Bivariate network meta-analysis for surrogate endpoint evaluation
Surrogate endpoints are very important in regulatory decision-making in ...
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05/17/2018