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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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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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10/18/2018
Impact of model misspecification in shared frailty survival models
Survival models incorporating random effects to account for unmeasured h...
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08/01/2018
Mixed effects models for healthcare longitudinal data with an informative visiting process: a Monte Carlo simulation study
Electronic health records are being increasingly used in medical researc...
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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