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Review and evaluation of penalised regression methods for risk prediction in low-dimensional data with few events

Statistics in medicine, 2016-03, Vol.35 (7), p.1159-1177

2016

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ABO Blood Group Correlations with Covid-19: Cohort Choice Makes A Difference

Clinical infectious diseases, 2021-06, Vol.72 (11), p.e919-e919

2021

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Bayesian deconvolution and quantification of metabolites in complex 1D NMR spectra using BATMAN

Nature protocols, 2014-06, Vol.9 (6), p.1416-1427

2014

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The multivariate Bernoulli detector: change point estimation in discrete survival analysis

Biometrics, 2024-07, Vol.80 (3)

2024

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Automated image analysis to assess hygienic behaviour of honeybees

PloS one, 2022-01, Vol.17 (1), p.e0263183-e0263183

2022

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Significance testing in ridge regression for genetic data

BMC bioinformatics, 2011-09, Vol.12 (1), p.372-372, Article 372

2011

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Bayesian Learning of Graph Substructures

Bayesian analysis, 2023-12, Vol.18 (4)

2023

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Simultaneous analysis of all SNPs in genome-wide and re-sequencing association studies

PLoS genetics, 2008-07, Vol.4 (7), p.e1000130-e1000130

2008

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Human metabolic phenotype diversity and its association with diet and blood pressure

Nature, 2008-05, Vol.453 (7193), p.396-400

2008

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Bayesian inference on the number of recurrent events: A joint model of recurrence and survival

Statistical methods in medical research, 2022-01, Vol.31 (1), p.139-153

2022

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Monte Carlo co-ordinate ascent variational inference

Statistics and computing, 2020-07, Vol.30 (4), p.887-905

2020

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Bayesian Deconvolution and Quantification of Metabolites from J-Resolved NMR Spectroscopy

Bayesian analysis, 2021-06, Vol.16 (2)

2021

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On a wider class of prior distributions for graphical models

Journal of applied probability, 2024-03, Vol.61 (1), p.230-243

2024

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Unbiased approximation of posteriors via coupled particle Markov chain Monte Carlo

Statistics and computing, 2022-06, Vol.32 (3), Article 36

2022

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Bayesian Model of NMR Spectra for the Deconvolution and Quantification of Metabolites in Complex Biological Mixtures

Journal of the American Statistical Association, 2012-12, Vol.107 (500), p.1259-1271

2012

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Variable selection in covariate dependent random partition models: an application to urinary tract infection

Statistics in medicine, 2016-04, Vol.35 (8), p.1373-1389

2016

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A comparative review of variable selection techniques for covariate dependent Dirichlet process mixture models

Canadian journal of statistics, 2017-09, Vol.45 (3), p.254-273

2017

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Bayesian splines versus fractional polynomials in network meta-analysis

BMC medical research methodology, 2020-10, Vol.20 (1), p.261-261, Article 261

2020

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BATMAN—an R package for the automated quantification of metabolites from nuclear magnetic resonance spectra using a Bayesian model

Bioinformatics, 2012-08, Vol.28 (15), p.2088-2090

2012

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The Neglected Liaison: Targeting Cancer Cell Metabolic Reprogramming Modifies the Composition of Non-Malignant Populations of the Tumor Microenvironment

Cancers, 2021-10, Vol.13 (21), p.5447

2021

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Metabolome-Wide Association Study Identifies Multiple Biomarkers that Discriminate North and South Chinese Populations at Differing Risks of Cardiovascular Disease: INTERMAP Study

Journal of proteome research, 2010-12, Vol.9 (12), p.6647-6654

2010

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Modelling correlated binary variables: an application to lower urinary tract symptoms

Journal of the Royal Statistical Society Series C: Applied Statistics, 2018-08, Vol.67 (4), p.1083-1100

2018

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Inducing respiratory complex I impairment elicits an increase in PGC1α in ovarian cancer

Scientific reports, 2022-05, Vol.12 (1), p.8020-8020, Article 8020

2022

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An ANOVA Model for Dependent Random Measures

Journal of the American Statistical Association, 2004-03, Vol.99 (465), p.205-215

2004

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NDUFS3 knockout cancer cells and molecular docking reveal specificity and mode of action of anti-cancer respiratory complex I inhibitors

Open biology, 2022-11, Vol.12 (11), p.220198

2022

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Review and evaluation of penalised regression methods for risk prediction in low-dimensional data with few events

ABO Blood Group Correlations with Covid-19: Cohort Choice Makes A Difference

Bayesian deconvolution and quantification of metabolites in complex 1D NMR spectra using BATMAN

The multivariate Bernoulli detector: change point estimation in discrete survival analysis

Automated image analysis to assess hygienic behaviour of honeybees

Significance testing in ridge regression for genetic data

Bayesian Learning of Graph Substructures

Simultaneous analysis of all SNPs in genome-wide and re-sequencing association studies

Human metabolic phenotype diversity and its association with diet and blood pressure

Bayesian inference on the number of recurrent events: A joint model of recurrence and survival

Monte Carlo co-ordinate ascent variational inference

Bayesian Deconvolution and Quantification of Metabolites from J-Resolved NMR Spectroscopy

On a wider class of prior distributions for graphical models

Unbiased approximation of posteriors via coupled particle Markov chain Monte Carlo

Bayesian Model of NMR Spectra for the Deconvolution and Quantification of Metabolites in Complex Biological Mixtures

Variable selection in covariate dependent random partition models: an application to urinary tract infection

A comparative review of variable selection techniques for covariate dependent Dirichlet process mixture models

Bayesian splines versus fractional polynomials in network meta-analysis

BATMAN—an R package for the automated quantification of metabolites from nuclear magnetic resonance spectra using a Bayesian model

The Neglected Liaison: Targeting Cancer Cell Metabolic Reprogramming Modifies the Composition of Non-Malignant Populations of the Tumor Microenvironment

Metabolome-Wide Association Study Identifies Multiple Biomarkers that Discriminate North and South Chinese Populations at Differing Risks of Cardiovascular Disease: INTERMAP Study

Modelling correlated binary variables: an application to lower urinary tract symptoms

Inducing respiratory complex I impairment elicits an increase in PGC1α in ovarian cancer

An ANOVA Model for Dependent Random Measures

NDUFS3 knockout cancer cells and molecular docking reveal specificity and mode of action of anti-cancer respiratory complex I inhibitors

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