Software development
- R and SAS material related to Flexible Splines Modeling of Absolute Risks in Survival Analysis with R and SAS, Michael G Palazzolo et al. Joint Statistical Meeting, August 2023
- interactionRCS: an R package to calculate and plot estimates from models in which an interaction between the main predictor and a continuous covariate has been specified
Publications
- Multiple Imputation Approaches for Missing Time-to-Event Outcomes with Informative Censoring: Practical Considerations from a Simulation Study Based on Real Data. (2025), Epidemiology, Biostatistics, and Public Health, 20(1). doi: 10.54103/2282-0930/28145.
- Estimating and Presenting Hazard Ratios and Absolute Risks from a Cox Model with Complex Non-linear Interactions.
Am J Epidemiol. 2024 Aug 5;193(8):1155-1160.
- Unsupervised clustering approach to assess heterogeneity of treatment effects across patient phenotypes in randomized clinical trials. Contemp Clin Trials. 2024 Dec 13;148:107778. doi: 10.1016/j.cct.2024.107778.
- Estimating and presenting non-linear associations with restricted cubic splines. Int J Epidemiol. 2025 Jun 11;54(4):dyaf088. doi: 10.1093/ije/dyaf088.
- Confounders, Effect Modifiers, and Mediators: Dealing With “Third Variables” in Cardiovascular Epidemiology. Circulation. Volume 151, Number 25. Doi: 10.1161/CIRCULATIONAHA.125.073645.
- Estimating and presenting non-linear associations with restricted cubic splines. Int J Epidemiol. 2025 Jun 11;54(4):dyaf088. doi: 10.1093/ije/dyaf088.
- Modern Computational Tools to Support the Implementation and Accessibility of Clinical Risk Scores. J Clin Epidemiol. 2025 Aug 9:111927. doi: 10.1016/j.jclinepi.2025.111927.
- Statistical approaches for systematically missing covariates in individual participant data meta-analysis: insights and applications using 5 large cardiovascular trials. Am J Epidemiol. 2025 Oct 9:kwaf226. doi: 10.1093/aje/kwaf226.
International Conference Presentations
- Estimating Adjusted Absolute Risks Differences Using Pseudo Values for Censored Data: Application, Interpretation, and Software Development. Michael G. Palazzolo, Andrea Discacciati, Sabina A. Murphy, Andrea Bellavia. ENAR, March 2025
- Evaluating the Performances of Tree-Based Machine Learning Methods for Detecting Interaction Effects in Clinical Research. Xinhui Ran, Andrea Bellavia. ENAR, March 2025.
- Machine Learning Approaches for Genetics-Clinical Interaction Discovery: Methods Comparison and Application using UK Biobank Data. Yi-Pin Lai, Giorgio E. M. Melloni, Sabina A. Murphy, Siona Prasad, Nicholas A. Marston, Andrea Bellavia. ENAR, March 2025
- An Unsupervised Machine Learning Approach to assess Heterogeneity of Treatment Effects over Patient Phenotypes. Xinhui Ran, MS et al. ENAR, March 2024. R Material for this presentation.
- Collinearity Reduction via Outliers Selection Regression (CROS R): a Novel Approach to Handle Highly Correlated Predictors in Regression Modeling, Giorgio Melloni, PhD et al. ENAR, March 2024
- A Comparison of Approaches for Missing Outcome Data in Randomized Clinical Trials with Censored Time-to-event Endpoints, Andrea Bellavia, PhD, et al. ENAR, March 2024
- Evaluating and presenting complex interactions in clinical research, Andrea Bellavia, PhD. ASA Conference on Statistical Practice, February 2023
- Flexible Splines Modeling of Absolute Risks in Survival Analysis with R and SAS, Michael G Palazzolo et al. Joint Statistical Meeting, August 2023
- On the Performance of Various Risk-Scoring Approaches – Yared Gurmu PhD. et al. Joint Statistical Meeting, July 2019
- Win Ratio Application for a Composite Outcome in a Randomized Cardiovascular Trial – Rose A. Hamershock et al. ASA Conference on Statistical Practice, February 2018
- Calibration and Discrimination in Predictive Survival Models – Yared Gurmu PhD. et al. Joint Statistical Meeting, August 2017