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Handbook of meta-analysis in ecology and evolution

1, 2013

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Bayesian Estimation of Small Effects in Exercise and Sports Science

PloS one, 2016-04, Vol.11 (4), p.e0147311-e0147311

2016

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Comparing Bayesian spatial models: Goodness-of-smoothing criteria for assessing under- and over-smoothing

PloS one, 2020-05, Vol.15 (5), p.e0233019-e0233019

2020

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Evaluation of spatial Bayesian Empirical Likelihood models in analysis of small area data

PloS one, 2022-05, Vol.17 (5), p.e0268130-e0268130

2022

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Using the Value of Information to improve conservation decision making

Biological reviews of the Cambridge Philosophical Society, 2019-04, Vol.94 (2), p.629-647

2019

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Bayesian computation via empirical likelihood

Proceedings of the National Academy of Sciences - PNAS, 2013-01, Vol.110 (4), p.1321-1326

2013

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Evaluating health facility access using Bayesian spatial models and location analysis methods

PloS one, 2019-08, Vol.14 (8), p.e0218310-e0218310

2019

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Spatially explicit structural equation modeling

Ecology (Durham), 2014-09, Vol.95 (9), p.2434-2442

2014

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Rising floodwaters: mapping impacts and perceptions of flooding in Indonesian Borneo

Environmental research letters, 2016-06, Vol.11 (6), p.64016

2016

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Multivariate Bayesian meta-analysis: joint modelling of multiple cancer types using summary statistics

International journal of health geographics, 2020-10, Vol.19 (1), p.42-42, Article 42

2020

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Development of the Australian Cancer Atlas: spatial modelling, visualisation, and reporting of estimates

International journal of health geographics, 2019-10, Vol.18 (1), p.21-21, Article 21

2019

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Mixtures: Estimation and Applications

1. Aufl., 2011

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Case Studies in Applied Bayesian Data Science: CIRM Jean-Morlet Chair, Fall 2018

1st Edition 2020, 2020

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Using decision trees to understand structure in missing data

BMJ open, 2015-06, Vol.5 (6), p.e007450-e007450

2015

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A Four Dimensional Spatio-Temporal Analysis of an Agricultural Dataset

PloS one, 2015-10, Vol.10 (10), p.e0141120-e0141120

2015

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Interpolating missing land cover data using stochastic spatial random forests for improved change detection

Remote sensing in ecology and conservation, 2021-12, Vol.7 (4), p.649-665

2021

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Stochastic spatial random forest (SS-RF) for interpolating probabilities of missing land cover data

Journal of big data, 2020-07, Vol.7 (1), p.1-23, Article 55

2020

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Making the most of spatial information in health: a tutorial in Bayesian disease mapping for areal data

Geospatial health, 2016-05, Vol.11 (2), p.428-428

2016

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Augmenting disease maps: a Bayesian meta-analysis approach

Royal Society open science, 2020-08, Vol.7 (8), p.192151-192151

2020

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Correction to 'Augmenting disease maps: a Bayesian meta-analysis approach'

Royal Society open science, 2021-02, Vol.8 (2), p.210085-210085, Article rsos.210085

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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Spatial Random Forest (S-RF): A random forest approach for spatially interpolating missing land-cover data with multiple classes

International journal of remote sensing, 2021-05, Vol.42 (10), p.3756-3776

2021

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Identification of area-level influences on regions of high cancer incidence in Queensland, Australia: a classification tree approach

BMC cancer, 2011-07, Vol.11 (1), p.311-311, Article 311

2011

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Developing the atlas of cancer in Queensland: methodological issues

International journal of health geographics, 2011-01, Vol.10 (1), p.9-9

2011

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Case Studies in Bayesian Statistical Modelling and Analysis

1, 2012

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Handbook of meta-analysis in ecology and evolution

Bayesian Estimation of Small Effects in Exercise and Sports Science

Comparing Bayesian spatial models: Goodness-of-smoothing criteria for assessing under- and over-smoothing

Evaluation of spatial Bayesian Empirical Likelihood models in analysis of small area data

Using the Value of Information to improve conservation decision making

Bayesian computation via empirical likelihood

Evaluating health facility access using Bayesian spatial models and location analysis methods

Spatially explicit structural equation modeling

Rising floodwaters: mapping impacts and perceptions of flooding in Indonesian Borneo

Multivariate Bayesian meta-analysis: joint modelling of multiple cancer types using summary statistics

Development of the Australian Cancer Atlas: spatial modelling, visualisation, and reporting of estimates

Mixtures: Estimation and Applications

Case Studies in Applied Bayesian Data Science: CIRM Jean-Morlet Chair, Fall 2018

Using decision trees to understand structure in missing data

A Four Dimensional Spatio-Temporal Analysis of an Agricultural Dataset

Interpolating missing land cover data using stochastic spatial random forests for improved change detection

Stochastic spatial random forest (SS-RF) for interpolating probabilities of missing land cover data

Making the most of spatial information in health: a tutorial in Bayesian disease mapping for areal data

Augmenting disease maps: a Bayesian meta-analysis approach

Correction to 'Augmenting disease maps: a Bayesian meta-analysis approach'

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

Spatial Random Forest (S-RF): A random forest approach for spatially interpolating missing land-cover data with multiple classes

Identification of area-level influences on regions of high cancer incidence in Queensland, Australia: a classification tree approach

Developing the atlas of cancer in Queensland: methodological issues

Case Studies in Bayesian Statistical Modelling and Analysis

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