A. Gabrio
Research profile
My research area involves different topics: from systematic literature reviews, case study applications, survival analysis, meta-analytic methods, multilevel models and trial-based clinical and economic analyses. Within the health economic framework, my research interest extends to the analysis of longitudinal data using different types of statistical methods to deal with missingness in a principled way.
Research projects
- Nonignorable Missingness Models in HTA
- Short course on missing data in HTA (GitHub rep)
- Bayesian Methods for Health Technology Assessment
- Bayesian Modelling for Health Economic Evaluations
- Missingness Methods in trial-based CEA
- R package: MissingHE (CRAN rep)
- Bayesian Hierarchical Models for the Prediction of Volleyball Results
See an overview of my current and past research projects here
Key publications
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Gabrio, A., Daniels, M., & Baio, G. (2020). A Bayesian parametric approach to handle missing longitudinal outcome data in trial based health economic evaluations. Journal of the Royal Statistical Society Series A-Statistics in Society, 183(2), 607-629. https://doi.org/10.1111/rssa.12522More information about this publication
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Gabrio, A., Baio, G., & Manca, A. (2019). Bayesian Statistical Economic Evaluation Methods for Health Technology Assessment. In Oxford Encyclopedia of Health Economics Oxford University Press. https://doi.org/10.1093/acrefore/9780190625979.013.451More information about this publication
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Gabrio, A., Plumpton, C., Banerjee, S., & Leurent, B. (2022). Linear mixed models to handle missing at random data in trial-based economic evaluations. Health Economics, 31(6), 1276-1287. https://doi.org/10.1002/hec.4510More information about this publication
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Gabrio, A. (2024). A review of heath economic evaluation practice in the Netherlands: are we moving forward? Health Economics, Policy and Law, 19(2), 174-191. https://doi.org/10.1017/S1744133123000087More information about this publication
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Heuts, S., Kawczynski, M., Sardari Nia, P., Maessen, J. G., Biondi-Zoccai, G., & Gabrio, A. (2023). Bayesian interpretation of non-inferiority in transcatheter versus surgical aortic valve replacement trials: a systematic review and meta-analysis. Interdisciplinary CardioVascular and Thoracic Surgery, 37(5), Article ivad185. https://doi.org/10.1093/icvts/ivad185More information about this publication
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Ling, X., Gabrio, A., Mason, A., & Baio, G. (2022). A Scoping Review of Item-Level Missing Data in Within-Trial Cost-Effectiveness Analysis. Value in Health, 25(9), 1654-1662. https://doi.org/10.1016/j.jval.2022.02.009More information about this publication
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Gabrio, A. (2021). Bayesian hierarchical models for the prediction of volleyball results. Journal of Applied Statistics, 48(2), 301-321. https://doi.org/10.1080/02664763.2020.1723506More information about this publication
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Wiethoff, I., Sikking, M., Evers, S., Gabrio, A., Henkens, M., Michels, M., Verdonschot, J., Heymans, S., & Hiligsmann, M. (2024). Quality of life and societal costs in patients with dilated cardiomyopathy. European heart journal - Quality of care & clinical outcomes, 10(4), 334-344. Article qcad056. https://doi.org/10.1093/ehjqcco/qcad056More information about this publication
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Lohan, M., Brennan-Wilson, A., Hunter, R., Gabrio, A., McDaid, L., Young, H., French, R., Aventin, Á., Clarke, M., McDowell, C., Logan, D., Toase, S., O'Hare, L., Bonell, C., Gillespie, K., Gough, A., Lagdon, S., Warren, E., Buckley, K., ... White, J. (2022). Effects of gender-transformative relationships and sexuality education to reduce adolescent pregnancy (the JACK trial): a cluster-randomised trial. LANCET PUBLIC HEALTH, 7(7), e626-e637. https://doi.org/10.1016/S2468-2667(22)00117-7More information about this publication
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Clarke, C. S., Hunter, R. M., Gabrio, A., Brawley, C. D., Ingleby, F. C., Dearnaley, D. P., Matheson, D., Attard, G., Rush, H. L., Jones, R. J., Cross, W., Parker, C., Russell, J. M., Millman, R., Gillessen, S., Malik, Z., Lester, J. F., Wylie, J., Clarke, N. W., ... James, N. D. (2022). Cost-utility analysis of adding abiraterone acetate plus prednisone/prednisolone to long-term hormone therapy in newly diagnosed advanced prostate cancer in England: Lifetime decision model based on STAMPEDE trial data. PLOS ONE, 17(6), Article e0269192. https://doi.org/10.1371/journal.pone.0269192More information about this publication
Recent publications
Other publications
https://scholar.google.co.uk/citations?user=2fPE3iAAAAAJ&hl
Notes
Check out my GitHub page and my personal website for more info on what I do and how to get in contact with me about some research projects