500 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of CambridgeGB71 papers
- University College LondonGB12 papers
- Newcastle UniversityGB11 papers
- Imperial College LondonGB8 papers
- The Alan Turing InstituteGB7 papers
- Medical Research CouncilGB6 papers
- Sapienza University of RomeIT6 papers
- Novartis (Switzerland)CH5 papers
- Public Health EnglandGB5 papers
- UK Health Security AgencyGB5 papers
- University of OxfordGB5 papers
- Amsterdam University Medical CentersNL4 papers
9 papers · 1 filter
A Bayesian hierarchical model for bridging across patient subgroups in phase I clinical trials with animal data
Haiyan Zheng, Lisa V. Hampson, Thomas Jaki
Incorporating preclinical animal data, which can be regarded as a special kind of historical data, into phase I clinical trials can improve decision making when very little about h…
An efficient and robust approach to Mendelian randomization with measured pleiotropic effects in a high-dimensional setting
Andrew J. Grant, Stephen Burgess
Valid estimation of a causal effect using instrumental variables requires that all of the instruments are independent of the outcome conditional on the risk factor of interest and…
Distributed Computation for Marginal Likelihood based Model Choice
Alexander Buchholz, Daniel Ahfock, Sylvia Richardson
We propose a general method for distributed Bayesian model choice, using the marginal likelihood, where a data set is split in non-overlapping subsets. These subsets are only acces…
Bayesian design and analysis of external pilot trials for complex interventions
Duncan T. Wilson, James M. S. Wason, Julia Brown +2
External pilot trials of complex interventions are used to help determine if and how a confirmatory trial should be undertaken, providing estimates of parameters such as recruitmen…
Borrowing of information across patient subgroups in a basket trial based on distributional discrepancy
Haiyan Zheng, James M. S. Wason
Basket trials have emerged as a new class of efficient approaches in oncology to evaluate a new treatment in several patient subgroups simultaneously. In this paper, we extend the…
Calculating the Expected Value of Sample Information in Practice: Considerations from Three Case Studies
Anna Heath, Natalia R. Kunst, Christopher Jackson +6
Investing efficiently in future research to improve policy decisions is an important goal. Expected Value of Sample Information (EVSI) can be used to select the specific design and…
A guide to Value of Information methods for prioritising research in health impact modelling
Rob Johnson, James Woodcock, Audrey de Nazelle +4
Health impact simulation models are used to predict how a proposed intervention or scenario will affect public health outcomes, based on available data and knowledge of the process…
Multiple kernel learning for integrative consensus clustering of 'omic datasets
Alessandra Cabassi, Paul D. W. Kirk
Diverse applications - particularly in tumour subtyping - have demonstrated the importance of integrative clustering techniques for combining information from multiple data sources…
An n-dimensional Rosenbrock Distribution for MCMC Testing
Filippo Pagani, Martin Wiegand, Saralees Nadarajah
The Rosenbrock function is an ubiquitous benchmark problem for numerical optimisation, and variants have been proposed to test the performance of Markov Chain Monte Carlo algorithm…