Research

You can also find my articles on Google Scholar.

Articles on Peer-Reviewed Journals

• Bondi L, Pagano M, Bonetti M (2024). The sparsity index in Poisson size-biased sampling: algorithms for the optimal unbiased estimation from small samples. Statistics and Probability Letters. In press.

• Bondi L, Bonetti M, Grigorova, D & Russo, A (2023). Approximate Bayesian computation for the natural history of breast cancer, with application to data from a Milan cohort study. Statistics in Medicine, 21(1). Open access pdf here, Mock data and R code examples here.

PhD Thesis

• Bondi L. (2022) Statistical models for the natural history of breast cancer. PhD thesis. Bocconi University. Pdf here.

Refereed Conference Proceedings

• Bondi L, Franzolini B, Palma M (2024). A longitudinal study of the gender gap in school grades via flexible Bayesian Beta regression. Book of Short Papers of the Italian Statistical Society.
• Franzolini B, Bondi L, Fasano A, Rebaudo G (2023). Bayesian forecasting of multivariate longitudinal zero-inflated counts: an application to civil conflict. CLADAG Book of Short Papers.
• Bondi L, Bonetti M, Hofvind S (2023). A model for the natural history of breast cancer: application to Norwegian screening data. Book of Short Papers of the Italian Statistical Society. Pdf here.
• Bondi L, Bonetti M, Piccarreta R (2022). An exploration of Approximate Bayesian Computation (ABC) and dissimilarities. Book of Short Papers of the Italian Statistical Society. P. 1046-1051. Open access pdf here.

Working papers

• L Bondi, B Tom, S Richardson et al. (2024+) Outcome-guided profile regression to characterise subtypes of knee osteoarthritis at a proteomic level. Work in progress.
• Y Deng et al. (2024+) Methodological development of molecular endotype discovery from synovial fluid of individuals with knee osteoarthritis: the STEpUP OA Consortium. medRxiv, 2023.08. 14.23294059
• TA Perry et al. (2024+) Deconvoluting synovial fluid molecular endotypes in knee osteoarthritis: primary results from the STEpUP OA Consortium. medRxiv, 2024.06. 05.24308485