Articles with public access mandates - Kellyn F ArnoldLearn more
Available somewhere: 10
Use of directed acyclic graphs (DAGs) to identify confounders in applied health research: review and recommendations
PWG Tennant, EJ Murray, KF Arnold, L Berrie, MP Fox, SC Gadd, ...
International journal of epidemiology 50 (2), 620-632, 2021
Mandates: UK Economic and Social Research Council, UK Medical Research Council
Time to reality check the promises of machine learning-powered precision medicine
J Wilkinson, KF Arnold, EJ Murray, M van Smeden, K Carr, R Sippy, ...
The Lancet Digital Health 2 (12), e677-e680, 2020
Mandates: US National Institutes of Health, Wellcome Trust, Federal Ministry of …
DAG-informed regression modelling, agent-based modelling and microsimulation modelling: a critical comparison of methods for causal inference
KF Arnold, WJ Harrison, AJ Heppenstall, MS Gilthorpe
International journal of epidemiology 48 (1), 243-253, 2019
Mandates: UK Economic and Social Research Council
Reflection on modern methods: generalized linear models for prognosis and intervention—theory, practice and implications for machine learning
KF Arnold, V Davies, M de Kamps, PWG Tennant, J Mbotwa, MS Gilthorpe
International journal of epidemiology 49 (6), 2074-2082, 2020
Mandates: UK Economic and Social Research Council
A causal inference perspective on the analysis of compositional data
KF Arnold, L Berrie, PWG Tennant, MS Gilthorpe
International journal of epidemiology 49 (4), 1307-1313, 2020
Mandates: UK Economic and Social Research Council, UK Medical Research Council
Estimating the effects of lockdown timing on COVID-19 cases and deaths in England: A counterfactual modelling study
KF Arnold, MS Gilthorpe, NA Alwan, AJ Heppenstall, GD Tomova, ...
PLoS One 17 (4), e0263432, 2022
Mandates: UK Medical Research Council
Adjustment for time-invariant and time-varying confounders in ‘unexplained residuals’ models for longitudinal data within a causal framework and associated challenges
KF Arnold, GTH Ellison, SC Gadd, J Textor, PWG Tennant, A Heppenstall, ...
Statistical Methods in Medical Research 28 (5), 1347-1364, 2019
Mandates: UK Economic and Social Research Council, UK Medical Research Council
Assessing spatiotemporal variability in SARS-CoV-2 infection risk for hospital workers using routinely-collected data
JK Wilson-Aggarwal, N Gotts, K Arnold, MJ Spyer, CF Houlihan, ...
Plos one 18 (4), e0284512, 2023
Mandates: UK Medical Research Council, National Institute for Health Research, UK, UK …
Assessing the spatial-temporal risks of SARS-CoV-2 infection for healthcare-workers in the hospital using behavioural indices from routine data
J Wilson-Aggarwal, N Gotts, K Arnold, MJ Spyer, CF Houlihan, E Nastouli, ...
medRxiv, 2022.11. 10.22282176, 2022
Mandates: National Institute for Health Research, UK, UK Research & Innovation
Incorporating Baseline Outcome Data in Individual Participant Data Meta-Analysis of Non-randomized Studies
L Syrogiannouli, L Wildisen, C Meuwese, DC Bauer, AR Cappola, ...
Frontiers in psychiatry 13, 774251, 2022
Mandates: Fundação de Amparo à Pesquisa do Estado de São Paulo, US Department of …
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