Antonio Remiro-Azócar

Statistical Innovation Leader

About Me

I am an expert in statistical methodology within the Methods and Outreach department at Novo Nordisk. My expertise lies in quantitative evidence synthesis, data fusion, HTA and observational science. I am currently developing and implementing innovative statistical methods for the enrichment of clinical trials with real-world data sources and for the transportability and generalizability of research data.

I have ample experience as a statistician, researcher and statistical consultant, providing support to the pharmaceutical, biotechnology, and healthcare consultancy sectors. Prior to my current role, I was lead statistician for health technology assessment at Bayer Pharmaceuticals. Prior to that, I was an independent contractor providing statistical support to contract research organizations such as IQVIA and ICON plc, and public bodies such as SickKids.

See my Google Scholar profile for an updated list of publications.

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Interests

Biostatistics
Applied Statistics
Evidence Synthesis
Data Fusion
Health Technology Assessment

Education

PhD Statistical Science
University College London
MRes Financial Computing
University College London
MSc Machine Learning
University College London
BSc Mathematics and Physics
University of Bath

Research

My research lies on the interface between statistics and health technology assessment, involving both methodological and applied problems. My primary interests are the development of statistical methodology to compare treatments in the absence of head-to-head clinical trials, adjusting for differences in patient populations and overcoming limited access to subject-level data.

Current interests: indirect treatment comparisons, covariate adjustment, transportability, estimands

Featured Publications

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Recent Publications

David M. Phillippo, Antonio Remiro-Azócar, Anna Heath, Gianluca Baio, Sofia Dias, A. E. Ades, Nicky J. Welton (2025). Effect modification and non-collapsibility together may lead to conflicting treatment decisions: A review of marginal and conditional estimands and recommendations for decision-making. In press, Research Synthesis Methods.

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Quang Vuong, Rebecca K. Metcalfe, Antonio Remiro-Azócar, Anders Gorst-Rasmussen, Oliver Keene, Jay J. H. Park (2024). Estimands and their implications for evidence synthesis for oncology: A case study of treatment switching in meta-analysis.

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L. Husemoen, A. Morga, Antonio Remiro-Azócar, F. Kleinjung, K. R. Rantell, A. Besseghir, B. Rosettani, A. Allignol, T. Vaitsiakhovich, P. Polavieja (2024). The ICH E9 (R1) Estimand Framework in the Context of Real-World Data and Observational Studies. In Pharmacoepidemiology and Drug Safety, 33(1).

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Antonio Remiro-Azócar (2024). Transportability of model-based estimands in evidence synthesis. Statistics in Medicine, 43(22).

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Antonio Remiro-Azócar, Anders Gorst-Rasmussen (2024). Broad versus narrow research questions in evidence synthesis: A parallel to (and plea for) estimands. Research Synthesis Methods 15(5).

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