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06/07/2023
Evaluating the impact of outcome delay on the efficiency of two-arm group-sequential trials
Adaptive designs(AD) are a broad class of trial designs that allow prepl...
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05/17/2023
Utilising high-dimensional data in randomised clinical trials: a review of methods and practice
Introduction Even in effectively conducted randomised trials, the prob...
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08/24/2022
Online multiple hypothesis testing for reproducible research
Modern data analysis frequently involves large-scale hypothesis testing,...
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05/24/2022
Bayesian sample size determination in basket trials borrowing information between subsets
Basket trials are increasingly used for the simultaneous evaluation of a...
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02/08/2022
Online error control for platform trials
Platform trials evaluate multiple experimental treatments under a single...
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11/03/2021
Cross-validated risk scores adaptive enrichment (CADEN) design
We propose a Cross-validated ADaptive ENrichment design (CADEN) in which...
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11/02/2020
Bayesian sample size determination using commensurate priors to leverage pre-experimental data
This paper develops Bayesian sample size formulae for experiments compar...
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10/13/2020
Conditional Power and Friends: The Why and How of (Un)planned, Unblinded Sample Size Recalculations in Confirmatory Trials
Adapting the final sample size of a trial to the evidence accruing durin...
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07/03/2020
Developing a predictive signature for two trial endpoints using the cross-validated risk scores method
The existing cross-validated risk scores (CVRS) design has been proposed...
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06/28/2020
A review of Bayesian perspectives on sample size derivation for confirmatory trials
Sample size derivation is a crucial element of the planning phase of any...
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04/25/2020
Two-Stage Sparse Regression Screening to Detect Biomarker-Treatment Interactions in Randomized Clinical Trials
High-dimensional biomarkers such as genomics are increasingly being meas...
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04/03/2020
Graphical approaches for the control of generalised error rates
When simultaneously testing multiple hypotheses, the usual approach in t...
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12/11/2019
Sample Size Estimation using a Latent Variable Model for Mixed Outcome Co-Primary, Multiple Primary and Composite Endpoints
Mixed outcome endpoints that combine multiple continuous and discrete co...
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08/16/2019
Bayesian design and analysis of external pilot trials for complex interventions
External pilot trials of complex interventions are used to help determin...
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08/14/2019
Borrowing of information across patient subgroups in a basket trial based on distributional discrepancy
Basket trials emerge as a new class of efficient approaches to evaluate ...
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02/19/2019
Employing latent variable models to improve efficiency in composite endpoint analysis
Composite endpoints that combine multiple outcomes on different scales a...
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09/19/2018
Online control of the false discovery rate in biomedical research
Modern biomedical research frequently involves testing multiple related ...
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03/14/2018