My research focuses on the application of statistical and machine learning approaches for the assessment of complex predictors and interactions in precision cardiovascular medicine and exposome-wide analysis. More details and several slides of recent talks and presentations are available here
Recent Publications
Ponzano M, Rotem RS, Bellavia A. Complex methods for complex data: key considerations for interpretable and actionable results in exposome research. European Journal of Epidemiology
Discacciati A, Palazzolo MG, Park JG, Melloni, GEM, Murphy SA, Bellavia A. Estimating and Presenting Non-Linear Associations with Restricted Cubic Splines. International Journal of Epidemiology
Bellavia A, Murphy SA. Confounders, effect modifiers, mediators. Dealing with ‘third variables’ in cardiovascular epidemiology. Circulation
Bellavia A, Ran X, Zimerman A, Antman EM, Giugliano RP, Morow DA, Murphy SA. Unsupervised clustering approach to assess heterogeneity of treatment effects across patient phenotypes in randomized clinical trials. Contemporary Clinical Trials
Haller P, Jarolim P, Palazzolo MG, Bellavia A, Antman E, Eikelboom J, Granger C, Harrington J, Healey J, Hijazi Z, Patel M, Patel S, Ruff C, Wallentin L, Braunwald E, Giugliano RP, Morrow DA. Heart failure risk assessment using biomarkers in patients with atrial fibrillation: Analysis from COMBINE-AF. Journal of the American College of Cardiology
Full list of publications: link
Statistical Methods for Environmental Mixtures: A Primer in Environmental Epidemiology. Springer, 2024
Accompanying R material available here