Publications & Pre-prints
Publications
Spreafico M*, Hazewinkel AD*, Gelderblom H, Fiocco M (2024).
Dynamic prediction of overall survival for patients with osteosarcoma: a retrospective analysis of the EURAMOS-1 clinical trial data.
Current Oncology, 31(7):3630-3642. doi: 10.3390/curroncol31070267Acem I, Steyerberg EW, Spreafico M, et al. (2024).
Survival after Resection of Malignant Peripheral Nerve Sheath Tumours: introducing and validating a novel type-specific prognostic model.
Neuro-Oncology Advances, vdae083. doi: 10.1093/noajnl/vdae083Gregorio C, Spreafico M, D’Amico S, et al. (2024).
Personalized timing for allogeneic stem cell transplantation in hematological neoplasms: a target trial emulation approach using multi-state modeling and microsimulation.
JCO Clinical Cancer Informatics, 8. doi: 10.1200/CCI.23.00205Tentori CA, Gregorio C, Robin M, et al. [including Spreafico M] (2024).
Clinical and genomic-based Decision Support System to define the optimal timing of allogeneic hematopoietic stem cell transplantation in patients with myelodysplastic syndromes.
Journal of Clinical Oncology. doi: 10.1200/JCO.23.02175Spreafico M, Ieva F, Fiocco M (2023).
Modelling time-varying covariates effect on survival via functional data analysis: application to the MRC BO06 trial in osteosarcoma.
Statistical Methods & Applications, 32:271–298. doi: 10.1007/s10260-022-00647-0Spreafico M (2022).
Statistical modelling of time-varying covariates for survival data.
Doctoral Thesis, Politecnico di Milano (IT) & Leiden University (NL).Spreafico M, Ieva F, Arlati F, et al. (2021).
Novel longitudinal Multiple Overall Toxicity (MOTox) score to quantify adverse events experienced by patients during chemotherapy treatment: a retrospective analysis of the MRC BO06 trial in osteosarcoma.
BMJ Open, 11:e053456. doi: 10.1136/bmjopen-2021-053456Spreafico M, Ieva F (2021).
Functional modeling of recurrent events on time-to-event processes.
Biometrical Journal, 63(5):948–967. doi: 10.1002/bimj.202000374Spreafico M, Ieva F (2021).
Dynamic monitoring of the effects of adherence to medication on survival in heart failure patients: A joint modeling approach exploiting time-varying covariates.
Biometrical Journal, 63(2):305–322. doi: 10.1002/bimj.201900365Spreafico M, Gasperoni F, Barbati G, et al. (2020).
Adherence to Disease-Modifying Therapy in Patients Hospitalized for HF: Findings from a Community-Based Study.
American Journal of Cardiovascular Drugs, 20:179–190. doi: 10.1007/s40256-019-00367-z
*co-first authors
Pre-prints/Submitted
Spreafico M. Positivity violations in marginal structural survival models with time-dependent confounding: a simulation study on IPTW-estimator performance. arXiv 2403.19606
Masci C*, Spreafico M*, Ieva F. Joint modelling of recurrent and terminal events with discretely-distributed non-parametric frailty: application on re-hospitalizations and death in heart failure patients. arXiv 2311.04103
Spreafico M, Ieva F, Fiocco M. Causal effect of chemotherapy received dose intensity on survival outcome: a retrospective study in osteosarcoma. arXiv 2307.09405
Spreafico M, Ieva F, Fiocco M. Longitudinal Latent Overall Toxicity (LOTox) profiles in osteosarcoma: a new taxonomy based on latent Markov models. arXiv 2107.12863
Spreafico M*, Hazewinkel AD*, van de Sande MAJ, Gelderblom H, Fiocco M. Machine learning versus Cox models for predicting overall survival in patients with osteosarcoma: a retrospective analysis of the EURAMOS-1 clinical trial data. [Submitted]
*co-first authors
Conference proceedings
Masci C, Spreafico M, Ieva F (2023). Joint modelling of hospitalizations and survival in Heart Failure patients: a discrete non parametric frailty approach. Book of the Short Papers SIS2023 – Statistical Learning, Sustainability and Impact Evaluation, Pearson Italia, Ancona (Italy), June 2023. ISBN: 9788891935618AAVV.
Gregorio C, Spreafico M, Ieva F (2022). Optimal timing of bone-marrow transplant in myelodysplastic syndromes through multi-state modeling and microsimulation. Book of Short Papers SIS2022 – 51st Meeting of the Italian Statistical Society, Pearson Italia, Caserta (Italy), June 2022. ISBN: 9788891932310.
Spreafico M, Ieva F (2021). Functional modelling of recurrent drug purchases and re-hospitalizations on survival in Heart Failure patients: a real-world case study. Atti del XI Congresso Nazionale SISMEC 2021, Bari (Italy), September 2021. ISBN: 9791280503244.
Spreafico M, Ieva F, Fiocco M (2021). Modelling longitudinal latent toxicity profiles evolution in osteosarcoma patients. Book of Short Papers SIS 2021 - 50th Meeting of the Italian Statistical Society, Pearson Italia, Pisa (IT), June 2021. ISBN: 9788891927361.
Spreafico M, Ieva F, Fiocco, M (2020). A functional approach to study the relationship between dynamic covariates and survival outcomes: an application to a randomized clinical trial on osteosarcoma. Book of Short Paper SIS 2020, Pearson Italia. ISBN: 9788891910776.
Ieva F, Spreafico M, Burba D (2020). Modeling the Effect of Recurrent Events on Time-to-event Processes by Means of Functional Data. In: Aneiros G., Horová I., Hušková M., Vieu P. (eds) Functional and High-Dimensional Statistics and Related Fields. IWFOS 2020. Contributions to Statistics. Springer, Cham. URL
Spreafico M, Ieva F (2019). Impact of time-dependent medication adherence on Heart Failure patients using a Joint Modelling framework. Atti del X Congresso Nazionale SISMEC 2019, Rome (Italy), September 2019. ISBN: 9788894345629.
Spreafico M, Ieva F (2019). Joint Models: a smart way to include functional data in healthcare analytics. Smart Statistics for Smart Applications - Book of Short Paper SIS2019, Pearson Italia, Milan (IT), June 2019. ISBN: 9788891915108.
Spreafico M, Gasperoni F, Barbati G, et al. (2018). Target dosages and adherence to PolyPharmacy therapy: a case study based on a regional real-world HF community. Atti del congresso congiunto SISMEC & Associazione Alessandro Liberati, Rome (IT), November 2018. ISBN: 9788894345612.
Spreafico M, Gasperoni F, Ieva F (2018). Investigating the effect of drugs consumption on survival outcome of Heart Failure patients using joint models: a case study based on regional administrative data. Book of Short Papers SIS2018, Pearson Italia, Palermo (IT), June 2018. ISBN 9788891910233.
Conference abstracts
Spreafico M, Fiocco M (2024). Cluster-based recurrent marked point process approach for longitudinal volume-outcome studies. To appear in Abstract Book ISCB45 – 45th Annual Conference of the International Society for Clinical Biostatistics, Thessaloniki (EL), July 2024.
Tentori CA, Gregorio C, Robin M, et al. [including Spreafico M] (2023). Clinical and Genomic-Based Decision Support System to Define the Optimal Timing of Allogeneic Hematopoietic Stem Cell Transplantation in Patients with Myelodysplastic Syndromes (MDS). Blood, 142(1):197. URL
[65th ASH Annual Meeting and Exposition, San Diego (USA), December 2023; ASH-Frank Toohey Abstract Achievement Award for Myelodysplastic Syndromes]Spreafico M, Fiocco M (2023). Investigating positivity violations in marginal structural survival models: a simulation study. Abstract Book SAfJR 2023 – 9th Survival Analysis for Junior Researchers Conference, Ulm (Germany), September 2023.
Spreafico M, Fiocco M (2023). Investigating positivity violations in marginal structural survival models: a study on estimator performance. Abstract Book ISCB44 – 44th Annual Conference of the International Society for Clinical Biostatistics, Milan (IT), August 2023.
Spreafico M, Ieva F, Fiocco M (2022). Causal effects of chemotherapy dose intensity on survival outcome through Marginal Structural Models. Abstract Book ISCB43 – 43rd Annual Conference of the International Society for Clinical Biostatistics, Newcastle upon Tyne (UK), August 2022.
Gregorio C, Spreafico M, Ieva F (2022). Personalized optimal treatment timing through multi-state modelling and microsimulation. Abstract Book ISCB43 – 43rd Annual Conference of the International Society for Clinical Biostatistics, Newcastle upon Tyne (UK), August 2022.
Spreafico M, Ieva F, Fiocco M (2022). Causal effects of chemotherapy regimen intensity on survival outcome through Marginal Structural Models. Abstract Book IBC2022 – 31st International Biometric Conference, Riga (Latvia), July 2022.
Cassia MA, Ieva F, Spreafico M, et al. (2021). Predire l’outcome nella nefrite lupica: il ruolo dell’andamento della proteinuria o della singola misurazione attraverso gli alberi di regressione. Giornale Italiano di Nefrologia, 38(S78):198–199.
[Book of abstract 62° Congresso Nazionale SIN (Società Italiana di Nefrologia), Rimini (IT), October 2021]Spreafico M, Ieva F, Fiocco M (2021). Modelling the effect of longitudinal latent toxicity profiles on survival: an application to osteosarcoma. Abstract Book ISCB42 – 42nd Annual Conference of the International Society for Clinical Biostatistics, Lyon (France), July 2021.
Spreafico M, Ieva F, Fiocco M (2020). Including dynamic covariates in survival models via Functional Data Analysis: an application to osteosarcoma. Abstract Book ISCB41 – 41st Annual Conference of the International Society for Clinical Biostatistics, Krakow (Poland), August 2020. ISBN: 9788394276072.
Ieva F, Spreafico M, Burba D (2020). Modeling the effect of dynamic covariates on time-to-event processes via Functional Data Analysis. Abstract Book ISCB41 – 41st Annual Conference of the International Society for Clinical Biostatistics, Krakow (Poland), August 2020. ISBN: 9788394276072.
Spreafico M, Ieva F (2019). Investigating the role of Proteinuria in Renal Disease: a real-world clinical case study. Abstract Book ISCB40 - 40th Annual Conference of the International Society for Clinical Biostatistics, Leuven (Belgium), July 2019. ISBN: 9789461652874.
