Keith Abrams

Professor of Statistics & Data Science

University of Warwick

United Kingdom

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Professor Keith Abrams is a Professor of Statistics & Data Science at the University of Warwick, UK. His research focuses on comparative effectiveness research, real-world evidence, and health conditions' prevalence, particularly in the context of cancer care and the impacts of the COVID-19 pandemic. Recent publications include analyses of long-term conditions in healthcare workers and the natural history of diseases such as Duchenne muscular dystrophy.

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Collaborators (15)

Simon Conroy

University College London

UNITED KINGDOM

Keith Abrams

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Articles (20)

Clinical Benefit From Molecularly Guided Cancer Care: A Matching-Adjusted Indirect Comparison of Larotrectinib Versus Standard of Care

Direct and indirect effects of the COVID-19 pandemic on mortality: an individual-level population-scale analysis using linked electronic health records, Wales, United Kingdom, 2016 to 2022

Advancing the role of real-world evidence in comparative effectiveness research

Cost-Effectiveness Analysis of Siltuximab for Australian Public Investment in the Rare Condition Idiopathic Multicentric Castleman Disease

Cohort Profile: The United Kingdom Research study into Ethnicity and COVID-19 outcomes in Healthcare workers (UK-REACH).

Prognostic Value of Neurotrophic Tyrosine Receptor Kinase Gene Fusions in Solid Tumors for Overall Survival: A Systematic Review and Meta-Analysis

Individual participant data from digital sources informed and improved precision in the evaluation of predictive biomarkers in Bayesian network meta-analysis

Association between ethnicity and migration status with the prevalence of single and multiple long-term conditions in UK healthcare workers

Clustering long-term health conditions among 67728 people with multimorbidity using electronic health records in Scotland.

Developing a Natural History Model for Duchenne Muscular Dystrophy.

Modeling the multi-state natural history of rare diseases with heterogeneous individual patient data: A simulation study.

Natural history of Duchenne muscular dystrophy in the United Kingdom: A descriptive study using the Clinical Practice Research Datalink.

Transporting Comparative Effectiveness Evidence Between Countries: Considerations for Health Technology Assessments.

Use of copula to model within‐study association in bivariate meta‐analysis of binomial data at the aggregate level: A Bayesian approach and application to surrogate endpoint evaluation

Correction: The association between frailty risk and COVID-19-associated all-mortality in hospitalised older people: a national cohort study

"Data makes the story come to life:" understanding the ethical and legal implications of Big Data research involving ethnic minority healthcare workers in the United Kingdom-a qualitative study.

Publisher Correction: Double-counting of populations in evidence synthesis in public health: a call for awareness and future methodological development.

Hesitancy for receiving regular SARS-CoV-2 vaccination in UK healthcare workers: a cross-sectional analysis from the UK-REACH study.

Double-counting of populations in evidence synthesis in public health: a call for awareness and future methodological development.

Comparative review of pharmacological therapies in individuals with HER2-positive advanced breast cancer with focus on hormone receptor subgroups.

Collaborators (15)

Simon Conroy

Catherine John

Jane Lyons

Garcia-Foncillas J

Katherine Woolf

Sylwia Bujkiewicz

Susan CARR

Umesh Kadam

Edward S. Dove

Manish Pareek

Martin Tobin

Winifred Ekezie

Amaya Azcoaga-Lorenzo

Zanfina Ademi

Rhiannon Owen

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