Search Results - "McGree, James M."
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A Review of Modern Computational Algorithms for Bayesian Optimal Design
Published in International statistical review (01-04-2016)“…Bayesian experimental design is a fast growing area of research with many real-world applications. As computational power has increased over the years, so has…”
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RD-RAP: beyond rare disease patient registries, devising a comprehensive data and analytic framework
Published in Orphanet journal of rare diseases (12-07-2019)“…Within the 21 APEC economies alone, there are an estimated 200 million individuals living with a rare disease. As such, health data on these individuals, and…”
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Predicting sediment and nutrient concentrations from high-frequency water-quality data
Published in PloS one (30-08-2019)“…Water-quality monitoring in rivers often focuses on the concentrations of sediments and nutrients, constituents that can smother biota and cause…”
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Incidence and risk factors for recurrence of endocrinopathic laminitis in horses
Published in Journal of veterinary internal medicine (01-05-2019)“…Background Endocrinopathic laminitis is common in horses and ponies, but the recurrence rate of the disease is poorly defined. Objectives To determine the…”
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Fetal alcohol spectrum disorder and attention deficit hyperactivity disorder stimulant trial in children: an N-of-1 pilot trial to compare stimulant to placebo (FASST): protocol
Published in BMJ open (17-04-2024)“…IntroductionFetal alcohol spectrum disorder (FASD) is a neurodevelopmental disorder caused by alcohol exposure during pregnancy. FASD is associated with…”
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SSNdesign—An R package for pseudo-Bayesian optimal and adaptive sampling designs on stream networks
Published in PloS one (22-09-2020)“…Streams and rivers are biodiverse and provide valuable ecosystem services. Maintaining these ecosystems is an important task, so organisations often monitor…”
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Comparison of Aggregated N-of-1 Trials with Parallel and Crossover Randomized Controlled Trials Using Simulation Studies
Published in Healthcare (Basel) (06-11-2019)“…N-of-1 trials offer an innovative approach to delivering personalized clinical care together with population-level research. While increasingly used, these…”
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Establishment of an International Collaborative Network for N-of-1 Trials and Single-Case Designs
Published in Contemporary clinical trials communications (01-09-2021)“…In this article we briefly examine the unique features of Single-Case Designs (SCDs) (studies in a single participant), their history and current trends, and…”
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Spatially Varying Coefficient Inequalities: Evaluating How the Impact of Patient Characteristics on Breast Cancer Survival Varies by Location
Published in PloS one (05-05-2016)“…An increasing number of studies have identified spatial differences in breast cancer survival. However little is known about whether the structure and dynamics…”
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Temperature Sensing and Honey Bee Colony Strength
Published in Journal of economic entomology (08-06-2022)“…Strength auditing of European honey bee (Apis mellifera Linnaeus, 1758 [Hymenoptera: Apidae]) colonies is critical for apiarists to manage colony health and…”
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A model robust subsampling approach for Generalised Linear Models in big data settings
Published in Statistical papers (Berlin, Germany) (01-08-2023)“…In today’s modern era of big data, computationally efficient and scalable methods are needed to support timely insights and informed decision making. One such…”
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Machine-based production scheduling for rotomoulded plastics manufacturing
Published in International journal of production research (04-03-2021)“…In this paper, production scheduling for rotomoulded plastics manufacturing in a multi-machine environment is considered. The objective is to minimise total…”
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A framework for automated anomaly detection in high frequency water-quality data from in situ sensors
Published in The Science of the total environment (10-05-2019)“…Monitoring the water quality of rivers is increasingly conducted using automated in situ sensors, enabling timelier identification of unexpected values or…”
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Managing surgical waiting lists through dynamic priority scoring
Published in Health care management science (01-09-2023)“…Prioritising elective surgery patients under the Australian three-category system is inherently subjective due to variability in clinician decision making and…”
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Bayesian design with sampling windows for complex spatial processes
Published in Journal of the Royal Statistical Society Series C: Applied Statistics (12-03-2024)“…Abstract Optimal design facilitates intelligent data collection. In this paper, we introduce a fully Bayesian design approach for spatial processes with…”
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Bayesian adaptive N‐of‐1 trials for estimating population and individual treatment effects
Published in Statistics in medicine (20-12-2020)“…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…”
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A Sequential Monte Carlo Algorithm to Incorporate Model Uncertainty in Bayesian Sequential Design
Published in Journal of computational and graphical statistics (01-03-2014)“…This article presents a sequential Monte Carlo (SMC) algorithm that can be used for any one-at-a-time Bayesian sequential design problem in the presence of…”
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An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions
Published in Statistics and computing (01-03-2018)“…The generation of decision-theoretic Bayesian optimal designs is complicated by the significant computational challenge of minimising an analytically…”
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Statistical Tests and Association Measures for Business Processes
Published in IEEE transactions on knowledge and data engineering (01-07-2023)“…Through the application of process mining, organisations can improve their business processes by leveraging data recorded as a result of the performance of…”
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Principles of Experimental Design for Big Data Analysis
Published in Statistical science (01-08-2017)“…Big Datasets are endemic, but are often notoriously difficult to analyse because of their size, heterogeneity and quality. The purpose of this paper is to open…”
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