Search Results - "Arnold, Kellyn F" :: K.UTB vyhledávací portál | TBU Library Retrieval Portal

Use of directed acyclic graphs (DAGs) to identify confounders in applied health research: review and recommendations

Use of directed acyclic graphs (DAGs) to identify confounders in applied health research: review and recommendations

by Tennant, Peter W G, Murray, Eleanor J, Arnold, Kellyn F, Berrie, Laurie, Fox, Matthew P, Gadd, Sarah C, Harrison, Wendy J, Keeble, Claire, Ranker, Lynsie R, Textor, Johannes, Tomova, Georgia D, Gilthorpe, Mark S, Ellison, George T H
Published in International journal of epidemiology (17.05.2021)

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Journal Article

A causal inference perspective on the analysis of compositional data

A causal inference perspective on the analysis of compositional data

by Arnold, Kellyn F, Berrie, Laurie, Tennant, Peter W G, Gilthorpe, Mark S
Published in International journal of epidemiology (01.08.2020)

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Journal Article

Time to reality check the promises of machine learning-powered precision medicine

Time to reality check the promises of machine learning-powered precision medicine

by Wilkinson, Jack, Arnold, Kellyn F, Murray, Eleanor J, van Smeden, Maarten, Carr, Kareem, Sippy, Rachel, de Kamps, Marc, Beam, Andrew, Konigorski, Stefan, Lippert, Christoph, Gilthorpe, Mark S, Tennant, Peter W G
Published in The Lancet. Digital health (01.12.2020)

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Journal Article

Reflection on modern methods: generalized linear models for prognosis and intervention—theory, practice and implications for machine learning

Reflection on modern methods: generalized linear models for prognosis and intervention—theory, practice and implications for machine learning

by Arnold, Kellyn F, Davies, Vinny, de Kamps, Marc, Tennant, Peter W G, Mbotwa, John, Gilthorpe, Mark S
Published in International journal of epidemiology (23.01.2021)

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Journal Article

Estimating the effects of lockdown timing on COVID-19 cases and deaths in England: A counterfactual modelling study

Estimating the effects of lockdown timing on COVID-19 cases and deaths in England: A counterfactual modelling study

by Arnold, Kellyn F, Gilthorpe, Mark S, Alwan, Nisreen A, Heppenstall, Alison J, Tomova, Georgia D, McKee, Martin, Tennant, Peter W G
Published in PloS one (14.04.2022)

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Journal Article

Analyses of ‘change scores’ do not estimate causal effects in observational data

Analyses of ‘change scores’ do not estimate causal effects in observational data

by Tennant, Peter W G, Arnold, Kellyn F, Ellison, George T H, Gilthorpe, Mark S
Published in International journal of epidemiology (13.10.2022)

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Journal Article

Adjustment for energy intake in nutritional research: a causal inference perspective

Adjustment for energy intake in nutritional research: a causal inference perspective

by Tomova, Georgia D, Arnold, Kellyn F, Gilthorpe, Mark S, Tennant, Peter WG
Published in The American journal of clinical nutrition (01.01.2022)

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Journal Article

Depicting deterministic variables within directed acyclic graphs (DAGs): An aid for identifying and interpreting causal effects involving derived variables and compositional data

Depicting deterministic variables within directed acyclic graphs (DAGs): An aid for identifying and interpreting causal effects involving derived variables and compositional data

by Berrie, Laurie, Arnold, Kellyn F, Tomova, Georgia D, Gilthorpe, Mark S, Tennant, Peter W G
Published in American journal of epidemiology (24.06.2024)

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Journal Article

DAG-informed regression modelling, agent-based modelling and microsimulation modelling: a critical comparison of methods for causal inference

DAG-informed regression modelling, agent-based modelling and microsimulation modelling: a critical comparison of methods for causal inference

by Arnold, Kellyn F, Harrison, Wendy J, Heppenstall, Alison J, Gilthorpe, Mark S
Published in International journal of epidemiology (01.02.2019)

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Journal Article

Reply to WC Willett et al

Reply to WC Willett et al

by Tomova, Georgia D, Arnold, Kellyn F, Gilthorpe, Mark S, Tennant, Peter W G
Published in The American journal of clinical nutrition (04.08.2022)

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Journal Article

OP112 Depicting deterministic variables within directed acyclic graphs (DAGs): An aid for identifying and interpreting causal effects involving compositional data and composite variables

OP112 Depicting deterministic variables within directed acyclic graphs (DAGs): An aid for identifying and interpreting causal effects involving compositional data and composite variables

by Berrie, Laurie, Arnold, Kellyn F, Tomova, Georgia D, Gilthorpe, Mark S, Tennant, Peter WG
Published in Journal of epidemiology and community health (1979) (01.08.2023)

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Journal Article

$Re: Adjustment for energy intake in nutritional research: a causal inference perspective \Reply to WC Willett et al$

Re: Adjustment for energy intake in nutritional research: a causal inference perspective \Reply to WC Willett et al

by Willett, Walter C, Stampfer, Meir, Tobias, Deirdre K, Tomova, Georgia D, Arnold, Kellyn F, Gilthorpe, Mark S, Tennant, Peter W G
Published in The American journal of clinical nutrition (01.08.2022)

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Journal Article

Estimating the effects of lockdown timing on COVID-19 cases and deaths in England: A counterfactual modelling study

Estimating the effects of lockdown timing on COVID-19 cases and deaths in England: A counterfactual modelling study

by Kellyn F Arnold, Mark S Gilthorpe, Nisreen A Alwan, Alison J Heppenstall, Georgia D Tomova, Martin McKee, Peter W G Tennant
Published in PloS one (01.01.2022)

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Journal Article

Depicting deterministic variables within directed acyclic graphs (DAGs): An aid for identifying and interpreting causal effects involving tautological associations, compositional data, and composite variables

Depicting deterministic variables within directed acyclic graphs (DAGs): An aid for identifying and interpreting causal effects involving tautological associations, compositional data, and composite variables

by Berrie, Laurie, Arnold, Kellyn F, Tomova, Georgia D, Gilthorpe, Mark S, Tennant, Peter W. G
Year of Publication 23.11.2022

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Journal Article

Lord's 'paradox' explained: the 50-year warning on the use of 'change scores' in observational data

Lord's 'paradox' explained: the 50-year warning on the use of 'change scores' in observational data

by Tennant, Peter W. G, Tomova, Georgia D, Murray, Eleanor J, Arnold, Kellyn F, Fox, Matthew P, Gilthorpe, Mark S
Year of Publication 03.02.2023

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Journal Article

Analyses of 'change scores' do not estimate causal effects in observational data

Analyses of 'change scores' do not estimate causal effects in observational data

by Tennant, Peter W. G, Arnold, Kellyn F, Ellison, George T. H, Gilthorpe, Mark S
Year of Publication 05.07.2019

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Journal Article

Depicting deterministic variables within directed acyclic graphs (DAGs): An aid for identifying and interpreting causal effects involving tautological associations, compositional data, and composite variables

Depicting deterministic variables within directed acyclic graphs (DAGs): An aid for identifying and interpreting causal effects involving tautological associations, compositional data, and composite variables

by Berrie, Laurie, Arnold, Kellyn F, Tomova, Georgia D, Gilthorpe, Mark S, Tennant, Peter W G
Published in arXiv.org (03.02.2023)

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Paper

Generalised linear models for prognosis and intervention: Theory, practice, and implications for machine learning

Generalised linear models for prognosis and intervention: Theory, practice, and implications for machine learning

by Arnold, Kellyn F, Davies, Vinny, de Kamps, Marc, Tennant, Peter W. G, Mbotwa, John, Gilthorpe, Mark S
Year of Publication 03.06.2019

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Journal Article

Lord's 'paradox' explained: the 50-year warning on the use of 'change scores' in observational data

Lord's 'paradox' explained: the 50-year warning on the use of 'change scores' in observational data

by Tennant, Peter W G, Tomova, Georgia D, Murray, Eleanor J, Arnold, Kellyn F, Fox, Matthew P, Gilthorpe, Mark S
Published in arXiv.org (03.02.2023)

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Paper

Analyses of 'change scores' do not estimate causal effects in observational data

Analyses of 'change scores' do not estimate causal effects in observational data

by Tennant, Peter W G, Arnold, Kellyn F, Ellison, George T H, Gilthorpe, Mark S
Published in arXiv.org (05.07.2019)

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Paper