About Me

Welcome! I am a postdoctoral researcher in statistics at MOX, Department of Mathematics, Politecnico di Milano.

I obtained my PhD in Data Analytics and Decision Sciences in February 2025 having worked at MOX, Department of Mathematics, Politecnico di Milano and visited the Section of Biostatistics, Department of Public Health, University of Copenhagen.

I am broadly interested in problems at the interface of statistics and real-world applications involving hierarchical data, with a focus on mixed-effects models, survival analysis, clustering, and causal inference.

In my free time, I enjoy DIY activities.

News

  • March 2026 Presented our work at MOX Colloquia in Milan, Italy.
  • February 2026 Paper accepted in Journal of the Royal Statistical Society Series C: Applied Statistics. DOI: 10.1093/jrsssc/qlag015
  • January 2026 New paper submitted: "Penalized Likelihood Optimization for Adaptive Neighborhood Clustering in Time-to-Event Data with Group-Level Heterogeneity". Preprint available on arXiv:2601.07446

Publications

For a complete and up-to-date list, see my Google Scholar profile.

Journal Articles

  1. Nonparametric estimation of the patient weighted while-alive estimand
    Ragni, A., Martinussen, T., & Scheike, T.
    Accepted (conditionally) for publication in Biometrical Journal, 2026+.
  2. Analysis of higher education dropouts dynamics through multilevel functional decomposition of recurrent events in counting processes
    Ragni, A., Masci, C., & Paganoni, A. M.
    Journal of the Royal Statistical Society Series C: Applied Statistics, 2026.
  3. A statistical significance-based approach for clustering grouped data via generalized linear model with discrete random effects
    Ragni, A., Masci, C., Ieva, F., & Paganoni, A. M.
    Journal of the Royal Statistical Society Series A: Applied Statistics, 2026.
  4. Assessing the impact of hybrid teaching on students’ academic performance via multilevel propensity score-based techniques
    Ragni, A., Ippolito, D., & Masci, C.
    Socio-Economic Planning Sciences, 2024.
  5. Imaging-based representation and stratification of intra-tumor heterogeneity via tree-edit distance
    Cavinato, L., Pegoraro, M., Ragni, A., Sollini, M., Erba, P. A., & Ieva, F.
    Scientific Reports, 2022.

Journal Articles (cross-disciplinary)

  1. Diagnostic value and interpretability of [18F] FDG-PET/CT radiomics in infective endocarditis
    Erba, P. A., Zanca, R., Sollini, M., Cavinato, L., Ragni, A., Hove, D. T., Glaudemans, A. W., Aguadè-Bruix, S., Pizzi, M. N., Roque, A., Ieva, F., & Slart, R. H
    EJNMMI research, 2026.
  2. Radiomics-based inter-lesion relation network to describe [18F] FMCH PET/CT imaging phenotypes in prostate cancer
    Cavinato, L., Sollini, M., Ragni, A., Bartoli, F., Zanca, R., Pasqualetti, F., Marciano, A., Ieva, F., & Erba, P. A
    Cancers, 2023.
  3. [18F]FMCH PET/CT biomarkers and similarity analysis to refine the definition of oligometastatic prostate cancer
    Sollini, M., Bartoli, F., Cavinato, L., Ieva, F., Ragni, A., Marciano, A., Zanca, R., Galli, L., Paiar, F., Pasqualetti, F., & Erba, P. A.
    EJNMMI research, 2021.

Preprints & Working Papers

  1. Penalized Likelihood Optimization for Adaptive Neighborhood Clustering in Time-to-Event Data with Group-Level Heterogeneity
    Ragni, A., Romani, G., & Masci, C.
    arXiv preprint, arXiv:2601.07446, 2026.
  2. TimeDepFrail: Time-Dependent Shared Frailty Cox Models in R
    Ragni, A., Romani, G., & Masci, C.
    arXiv preprint, arXiv:2501.12718, 2025.

Teaching

Teaching assistant

  • A.Y. 2025/2026 · Polimi Network Analysis for Mobility and Transportation (SECS-S/01, MAT/08), 20h, MSc Mobility Engineering
  • A.Y. 2025/2026 · Polimi Applied Statistics (SECS-S/01), 25h, MSc Management Engineering
  • A.Y. 2024/2025 · Polimi Linear Mixed Models module for Applied Statistics (SECS-S/01), 6h, MSc Mathematical Engineering
  • A.Y. 2024/2025 · Polimi Network Analysis for Mobility and Transportation (SECS-S/01, MAT/08), 25h, MSc Mobility Engineering
  • A.Y. 2024/2025 · Polimi Applied Statistics (SECS-S/01), 25h, MSc Management Engineering
  • A.Y. 2023/2024 · Polimi Applied Statistics (SECS-S/01), 25h, MSc Management Engineering
  • A.Y. 2022/2023 · Polimi Business Data Analytics (SECS-S/01), 25h, BSc Management Engineering
  • A.Y. 2022/2023 · Polimi Applied Statistics (SECS-S/01), 25h, MSc Management Engineering
  • A.Y. 2021/2022 · Polimi Business Data Analytics (SECS-S/01), 25h, BSc Management Engineering

Contact

Feel free to reach out if you are interested in collaborating, have questions about my research, or want to discuss potential opportunities.

alessandra.ragni@polimi.it

MOX, Department of Mathematics
Politecnico di Milano
Piazza Leonardo da Vinci 32, 20133
Milan, Italy