Areas of interest
- Bayesian statistics
- Bayesian clinical trial design
- Markov models
- Dose-response modeling
Education and Background
- PhD in Statistics, University of Warwick, UK (2017)
- Master degree in Statistics, University of Padua, Italy (2012)
- Bachelor degree in Statistics, population and society, University of Padua, Italy (2010)
Selected publications
- Calderazzo, S., Wiesenfarth, M., & Kopp-Schneider, A. (2024). Robust incorporation of historical information with known type I error rate inflation. Biometrical Journal, 66(1), 2200322.
- Kopp-Schneider, A., Wiesenfarth, M., Held, L., & Calderazzo, S. (2023). Simulating and reporting frequentist operating characteristics of clinical trials that borrow external information: Towards a fair comparison in case of one-arm and hybrid control two-arm trials. Pharmaceutical Statistics, 23(1): 4-19
- Calderazzo, S., Tarima, S., Reid, C., Flournoy, N., Friede, T., Geller, N., James L Rosenberger, N. S., Ursino, M., Vandemeulebroecke, M., Lancker, K. V., & Zohar, S. (2023). Coping with Information Loss and the Use of Auxiliary Sources of Data: A Report from the NISS Ingram Olkin Forum Series on Unplanned Clinical Trial Disruptions. Statistics in Biopharmaceutical Research, 0(0), 1–17.
- Cheng, C.-Y., Calderazzo, S., Schramm, C., & Schlander, M. (2023). Modeling the Natural History and Screening Effects of Colorectal Cancer Using Both Adenoma and Serrated Neoplasia Pathways: The Development, Calibration, and Validation of a Discrete Event Simulation Model. MDM Policy & Practice, 8(1)
- Calderazzo, S., Wiesenfarth, M., & Kopp-Schneider, A. (2020). A decision-theoretic approach to Bayesian clinical trial design and evaluation of robustness to prior-data conflict. Biostatistics, 23(1), 328–344.
- Wiesenfarth, M., & Calderazzo, S. (2019). Quantification of prior impact in terms of prior effective historical and current sample size. Biometrics.
- Calderazzo, S., Tavel, D., Zurich, M.-G., & Kopp-Schneider, A. (2019). Model-based estimation of Lowest Observed Effect Concentration from replicate experiments to identify potential biomarkers of in vitro neurotoxicity. Archives of toxicology, 1-10.
- Kopp‐Schneider, A., Calderazzo, S., & Wiesenfarth, M. (2019). Power gains by using external information in clinical trials are typically not possible when requiring strict type I error control. Biometrical Journal.
- Brenner, H., Calderazzo, S., Seufferlein, T., Ludwig, L., Dikopoulos, N., Mangold, J., ... & Kopp-Schneider, A. (2019). Effect of a Single Aspirin Dose Prior to Fecal Immunochemical Testing on Test Sensitivity for Detecting Advanced Colorectal Neoplasms: A Randomized Clinical Trial. JAMA, 321(17), 1686-1692.
- Calderazzo, S., Brancaccio, M., & Finkenstädt, B. (2018). Filtering and inference for stochastic oscillators with distributed delays. Bioinformatics, 35(8), 1380-1387.