3 citations · 3 across the 4 of their papers we have counts for
4 papers
Generalised Linear Mixed Model Specification, Analysis, Fitting, and Optimal Design in R with the glmmr Packages
Samuel I. Watson
We describe the \proglang{R} package \pkg{glmmrBase} and an extension \pkg{glmmrOptim}. \pkg{glmmrBase} provides a flexible approach to specifying, fitting, and analysing generalis…
Optimal Study Designs for Cluster Randomised Trials: An Overview of Methods and Results
Samuel I. Watson, Alan Girling, Karla Hemming
There are multiple cluster randomised trial designs that vary in when the clusters cross between control and intervention states, when observations are made within clusters, and ho…
Evaluation of Combinatorial Optimisation Algorithms for c-Optimal Experimental Designs with Correlated Observations
Samuel I Watson, Yi Pan
We show how combinatorial optimisation algorithms can be applied to the problem of identifying c-optimal experimental designs when there may be correlation between and within exper…
Permutation-based multiple testing corrections for p-values and confidence intervals for cluster randomised trials
Samuel I Watson, Joshua Akinyemi, Karla Hemming
In this article, we derive and compare methods to derive \textit{p}-values and sets of confidence intervals with strong control of the family-wise error rates and coverage for esti…