55 citations · 121 across the 24 of their papers we have counts for
7 papers · 1 filter
SSNdesign -- an R package for pseudo-Bayesian optimal and adaptive sampling designs on stream networks
Alan R. Pearse, James M. McGree, Nicholas A. Som +4
Streams and rivers are biodiverse and provide valuable ecosystem services. Maintaining these ecosystems is an important task, so organisations often monitor the status and trends i…
Bayesian adaptive N-of-1 trials for estimating population and individual treatment effects
S. G. Jagath Senarathne, Antony M. Overstall, James M. McGree
This article proposes a novel adaptive design algorithm that can be used to find optimal treatment allocations in N-of-1 clinical trials. This new methodology uses two Laplace appr…
Factors associated with injurious from falls in people with early stage Parkinson's disease
Sarini Abdullah, James McGree, Nicole White +2
Falls are common in people with Parkinson's disease (PD) and have detrimental effects which can lower the quality of life. While studies have been conducted to learn about falling…
Profile regression for subgrouping patients with early stage Parkinson's disease
Sarini Abdullah, James McGree, Nicole White +2
Falls are detrimental to people with Parkinson's Disease (PD) because of the potentially severe consequences to the patients' quality of life. While many studies have attempted to…
Assessing the predictive ability of the UPDRS for falls classification in early stage Parkinson's disease
Sarini Abdullah, Nicole White, James McGree +2
Identification of risk factors associated with falls in people with Parkinson's Disease (PD) is important due to their high risk of falling. In this study, various ways of utilizin…
Bayesian decision-theoretic design of experiments under an alternative model
Antony M. Overstall, James M. McGree
Traditionally Bayesian decision-theoretic design of experiments proceeds by choosing a design to minimise expectation of a given loss function over the space of all designs. The lo…
A synthetic likelihood-based Laplace approximation for efficient design of biological processes
Mahasen Dehideniya, Antony M. Overstall, Chris C. Drovandi +1
Complex models used to describe biological processes in epidemiology and ecology often have computationally intractable or expensive likelihoods. This poses significant challenges…