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Author

Jessica Barrett

Observed names: Barrett, Jessica, Barrett, Jessica K, Barrett, Jessica K., J Barrett, J K Barrett, J. K. Barrett, J. K. Barrett,, JESSICA BARRETT, Jessica K Barrett, Jessica K. Barrett
Observed institutions: University of Toronto, University of Cambridge, Toronto Western Hospital, University of Bristol, Cochrane, MRC Biostatistics Unit, MRC Integrative Epidemiology Unit, University College London, Universidade Federal de São Paulo, Medical Research Council
ORCID: 0000-0003-1889-9803
Observed ORCID: 0000-0003-1889-9803
OpenAlex ID: A5088664617
Consistency and inconsistency in network meta‐analysis: concepts and models for multi‐arm studies
2012 · J. P. T. Higgins, D Jackson, et al. · Research Synthesis Methods · 2,101
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Consistency and inconsistency in network meta‐analysis: model estimation using multivariate meta‐regression
2012 · Ian R. White, Jessica K. Barrett, et al. · Research Synthesis Methods · 1,116
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Fetal dopaminergic transplantation trials and the future of neural grafting in Parkinson's disease
2012 · Roger A Barker, Jessica Barrett, et al. · The Lancet Neurology · 367
A design‐by‐treatment interaction model for network meta‐analysis with random inconsistency effects
2014 · Dan Jackson, Jessica K. Barrett, et al. · Statistics in Medicine · 307
The UK EndoVascular Aneurysm Repair (EVAR) randomised controlled trials: long-term follow-up and cost-effectiveness analysis
2018 · Rajesh Patel, Janet T Powell, et al. · Health Technology Assessment · 128
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Axial Psoriatic Arthritis: Update on a Longterm Prospective Study
2009 · VINOD CHANDRAN, JESSICA BARRETT, et al. · The Journal of Rheumatology · 119
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Nipple- and areola-sparing mastectomy for the treatment of breast cancer
2016 · Bruna S Mota, Rachel Riera, et al. · Cochrane Database of Systematic Reviews · 107
Fully Bayesian Hierarchical Modelling in Two Stages, with Application to Meta-Analysis
2013 · David Lunn, Jessica Barrett, et al. · Journal of the Royal Statistical Society Series C (Applied Statistics) · 98
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COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records
2022 · Johan H Thygesen, Christopher Tomlinson, et al. · The Lancet Digital Health · 81
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Joint Modelling of Repeated Measurements and Time-to-Event Outcomes: Flexible Model Specification and Exact Likelihood Inference
2014 · Jessica Barrett, Peter Diggle, et al. · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 73
The use of repeated blood pressure measures for cardiovascular risk prediction: a comparison of statistical models in the ARIC study
2016 · Michael J. Sweeting, Jessica K. Barrett, et al. · Statistics in Medicine · 65
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Landmark Models for Optimizing the Use of Repeated Measurements of Risk Factors in Electronic Health Records to Predict Future Disease Risk
2018 · Ellie Paige, Jessica Barrett, et al. · American Journal of Epidemiology · 60
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Repeated Measurements of Blood Pressure and Cholesterol Improves Cardiovascular Disease Risk Prediction: an Individual-participant-data Meta-analysis
2017 · Paige, Ellie, Barrett, Jessica, et al. · Research at the University of Copenhagen (University of Copenhagen) · 58
Greater variability in lipid measurements associated with cardiovascular disease and mortality: A 10‐year diabetes cohort study
2020 · Eric Y. F. Wan, Esther Y. T. Yu, et al. · Diabetes Obesity and Metabolism · 52
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Estimating the association between blood pressure variability and cardiovascular disease: An application using the ARIC Study
2018 · Jessica K. Barrett, Raphael Huille, et al. · Statistics in Medicine · 51
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In simulated data and health records, latent class analysis was the optimum multimorbidity clustering algorithm
2022 · Linda Nichols, Tom Taverner, et al. · Journal of Clinical Epidemiology · 48
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Dynamic Prediction of Survival in Cystic Fibrosis
2018 · Ruth H. Keogh, Shaun R. Seaman, et al. · Epidemiology · 48
Informative presence and observation in routine health data: A review of methodology for clinical risk prediction
2020 · Rose Sisk, Lijing Lin, et al. · Journal of the American Medical Informatics Association · 47
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Extending DerSimonian and Laird's methodology to perform network meta‐analyses with random inconsistency effects
2015 · Dan Jackson, Martin Law, et al. · Statistics in Medicine · 46
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Awareness of ovarian cancer risk factors, beliefs and attitudes towards screening: baseline survey of 21 715 women participating in the UK Collaborative Trial of Ovarian Cancer Screening
2010 · on behalf of UKCTOCS Trialists, L Fallowfield, et al. · British Journal of Cancer · 46
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Psychological morbidity associated with ovarian cancer screening: results from more than 23 000 women in the randomised trial of ovarian cancer screening ( UKCTOCS )
2014 · J Barrett, V Jenkins, et al. · BJOG An International Journal of Obstetrics & Gynaecology · 44
Long-term maintenance rituximab for ANCA-associated vasculitis: relapse and infection prediction models
2020 · Mark E McClure, Yajing Zhu, et al. · Lara D. Veeken · 42
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Prediction of Cardiovascular Disease Risk Accounting for Future Initiation of Statin Treatment
2021 · Zhe Xu, Matthew Arnold, et al. · American Journal of Epidemiology · 40
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Predicting risk of rupture and rupture-preventing reinterventions following endovascular abdominal aortic aneurysm repair
2018 · I Grootes, J K Barrett, et al. · British journal of surgery · 40
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Estimating the association between blood pressure variability and cardiovascular disease: An application using the ARIC Study.
2019 · Barrett, Jessica K, Huille, Raphael, et al. · Apollo (University of Cambridge) · 33
Works count: 107
Citation count: 5,636
H-index: 28
I10-index: 43
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