2 citations · 2 across the 4 of their papers we have counts for
5 papers
Estimation of treatment policy estimands for continuous outcomes using off treatment sequential multiple imputation
Thomas Drury, Juan J Abellan, Nicky Best +1
The estimands framework outlined in ICH E9 (R1) describes the components needed to precisely define the effects to be estimated in clinical trials, which includes how post-baseline…
Better Decision Making in Drug Development Through Adoption of Formal Prior Elicitation
Nigel Dallow, Nicky Best, Timothy Montague
With the continued increase in the use of Bayesian methods in drug development, there is a need for statisticians to have tools to develop robust and defensible informative prior d…
A causal modelling framework for reference-based imputation and tipping point analysis
Ian R. White, Royes Joseph, Nicky Best
We consider estimating the "de facto" or effectiveness estimand in a randomised placebo-controlled or standard-of-care-controlled drug trial with quantitative outcome, where partic…
Bayesian nonparametric models for spatially indexed data of mixed type
Georgios Papageorgiou, Sylvia Richardson, Nicky Best
We develop Bayesian nonparametric models for spatially indexed data of mixed type. Our work is motivated by challenges that occur in environmental epidemiology, where the usual pre…
Classification Loss Function for Parameter Ensembles in Bayesian Hierarchical Models
Cedric E. Ginestet, Nicky G. Best, Sylvia Richardson
Parameter ensembles or sets of point estimates constitute one of the cornerstones of modern statistical practice. This is especially the case in Bayesian hierarchical models, where…