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
- 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.