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A Review of Modern Computational Algorithms for Bayesian Optimal Design

International statistical review, 2016-04, Vol.84 (1), p.128-154

2016

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Predicting sediment and nutrient concentrations from high-frequency water-quality data

PloS one, 2019-08, Vol.14 (8), p.e0215503-e0215503

2019

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RD-RAP: beyond rare disease patient registries, devising a comprehensive data and analytic framework

Orphanet journal of rare diseases, 2019-07, Vol.14 (1), p.176-176, Article 176

2019

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Incidence and risk factors for recurrence of endocrinopathic laminitis in horses

Journal of veterinary internal medicine, 2019-05, Vol.33 (3), p.1473-1482

2019

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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

BMJ open, 2024-04, Vol.14 (4), p.e071266-e071266

2024

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SSNdesign—An R package for pseudo-Bayesian optimal and adaptive sampling designs on stream networks

PloS one, 2020-09, Vol.15 (9), p.e0238422

2020

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Comparison of Aggregated N-of-1 Trials with Parallel and Crossover Randomized Controlled Trials Using Simulation Studies

Healthcare (Basel), 2019-11, Vol.7 (4), p.137

2019

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Establishment of an International Collaborative Network for N-of-1 Trials and Single-Case Designs

Contemporary clinical trials communications, 2021-09, Vol.23, p.100826-100826, Article 100826

2021

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Spatially Varying Coefficient Inequalities: Evaluating How the Impact of Patient Characteristics on Breast Cancer Survival Varies by Location

PloS one, 2016-05, Vol.11 (5), p.e0155086-e0155086

2016

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A model robust subsampling approach for Generalised Linear Models in big data settings

Statistical papers (Berlin, Germany), 2023-08, Vol.64 (4), p.1137-1157

2023

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Machine-based production scheduling for rotomoulded plastics manufacturing

International journal of production research, 2021-03, Vol.59 (5), p.1301-1318

2021

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A framework for automated anomaly detection in high frequency water-quality data from in situ sensors

The Science of the total environment, 2019-05, Vol.664, p.885-898

2019

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Managing surgical waiting lists through dynamic priority scoring

Health care management science, 2023-09, Vol.26 (3), p.533-557

2023

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Bayesian design with sampling windows for complex spatial processes

Journal of the Royal Statistical Society Series C: Applied Statistics, 2024-03, Vol.73 (2), p.378-397

2024

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Bayesian adaptive N‐of‐1 trials for estimating population and individual treatment effects

Statistics in medicine, 2020-12, Vol.39 (29), p.4499-4518

2020

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A Sequential Monte Carlo Algorithm to Incorporate Model Uncertainty in Bayesian Sequential Design

Journal of computational and graphical statistics, 2014-03, Vol.23 (1), p.3-24

2014

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An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions

Statistics and computing, 2018-03, Vol.28 (2), p.343-358

2018

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Relative rate of change in cognitive score network dynamics via Bayesian hierarchical models reveal spatial patterns of neurodegeneration

Statistics in medicine, 2020-09, Vol.39 (21), p.2695-2713

2020

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Principles of Experimental Design for Big Data Analysis

Statistical science, 2017-08, Vol.32 (3), p.385-404

2017

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Bayesian design for minimizing prediction uncertainty in bivariate spatial responses with applications to air quality monitoring

Biometrical journal, 2023-04, Vol.65 (4), p.e2100386-n/a

2023

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Bayesian adaptive design: improving the effectiveness of monitoring of the Great Barrier Reef

Ecological applications, 2016-12, Vol.26 (8), p.2637-2648

2016

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epower: An r package for power analysis of Before‐After‐Control‐Impact (BACI) designs

Methods in ecology and evolution, 2019-11, Vol.10 (11), p.1843-1853

2019

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Adaptive monitoring of coral health at Scott Reef where data exhibit nonlinear and disturbed trends over time

Ecology and evolution, 2022-09, Vol.12 (9), p.e9233-n/a

2022

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Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data

Computational statistics & data analysis, 2013-01, Vol.57 (1), p.320-335

2013

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Exploring Symptom Fluctuations and Triggers in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Using Novel Patient-Centred N-of-1 Observational Designs: A Protocol for a Feasibility and Acceptability Study

The patient : patient-centered outcomes research, 2022-03, Vol.15 (2), p.197-206

2022

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A Review of Modern Computational Algorithms for Bayesian Optimal Design

Predicting sediment and nutrient concentrations from high-frequency water-quality data

RD-RAP: beyond rare disease patient registries, devising a comprehensive data and analytic framework

Incidence and risk factors for recurrence of endocrinopathic laminitis in horses

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

SSNdesign—An R package for pseudo-Bayesian optimal and adaptive sampling designs on stream networks

Comparison of Aggregated N-of-1 Trials with Parallel and Crossover Randomized Controlled Trials Using Simulation Studies

Establishment of an International Collaborative Network for N-of-1 Trials and Single-Case Designs

Spatially Varying Coefficient Inequalities: Evaluating How the Impact of Patient Characteristics on Breast Cancer Survival Varies by Location

A model robust subsampling approach for Generalised Linear Models in big data settings

Machine-based production scheduling for rotomoulded plastics manufacturing

A framework for automated anomaly detection in high frequency water-quality data from in situ sensors

Managing surgical waiting lists through dynamic priority scoring

Bayesian design with sampling windows for complex spatial processes

Bayesian adaptive N‐of‐1 trials for estimating population and individual treatment effects

A Sequential Monte Carlo Algorithm to Incorporate Model Uncertainty in Bayesian Sequential Design

An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions

Relative rate of change in cognitive score network dynamics via Bayesian hierarchical models reveal spatial patterns of neurodegeneration

Principles of Experimental Design for Big Data Analysis

Bayesian design for minimizing prediction uncertainty in bivariate spatial responses with applications to air quality monitoring

Bayesian adaptive design: improving the effectiveness of monitoring of the Great Barrier Reef

epower: An r package for power analysis of Before‐After‐Control‐Impact (BACI) designs

Adaptive monitoring of coral health at Scott Reef where data exhibit nonlinear and disturbed trends over time

Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data

Exploring Symptom Fluctuations and Triggers in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Using Novel Patient-Centred N-of-1 Observational Designs: A Protocol for a Feasibility and Acceptability Study

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