Marta Spreafico
Assistant professor
- Name
- Dr. M. Spreafico
- Telephone
- +31 71 527 2727
- m.spreafico@math.leidenuniv.nl
- ORCID iD
- 0000-0002-7773-9976
ㅤ
Assistant professor
- Science
- Mathematisch Instituut
- Mathematisch Instituut
- Tentori C.A., Gregorio C., Robin M., Gagelmann N., Gurnari C., Ball S., Caballero B.J.C., Lanino L., D'Amico S., Spreafico M., Maggioni G., Travaglino E., Sauta E., Meggendorfer M., Zhao L.-P., Campagna A., Savevski V., Santoro A., Al Ali N., Sallman D., Sole F., Garcia-Manero G., Germing U., Kroger N., Kordasti S., Santini V., Sanz G., Kern W., Platzbecker U., Diez-Campelo M., Maciejewski J.P., Ades L., Fenaux P., Haferlach T., Zeidan A.M., Castellani G., Komrokji R., Ieva F. & Della Porta M.G. (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 42(24): 2873-2886.
- Gregorio C., Spreafico M., D'Amico S., Sauta E., Asti G., Lanino L., Tentori C.A., Platzbecker U., Haferlach T., Diez-Campelo M., Fenaux P., Komrokji R., Della Porta M.G. & Ieva F. (2024), Personalized timing for allogeneic stem-cell transplantation in hematologic neoplasms: a target trial emulation approach using multistate modeling and microsimulation , JCO Clinical Cancer Informatics 8: e2300205.
- Acem I., Steyerberg E.W., Spreafico M., Grünhagen D.J., Callegaro D., Spinner R.J., Pendleton C., Coert J.H., Miceli R., Abruzzese G., Flucke U.E., Slooff W.-B.M., Dalen T. van, Been L.B., Bonenkamp H.J., Anten M.H.M.E., Broen M.P.G., Bemelmans M.H.A., Bramer J.A.M., Schaap G.R., Kievit A.J., Hage J. van der, Houdt W.J. van, Sande M.A.J. van de, Gronchi A., Verhoef C. & Martin E. (2024), Survival after resection of malignant peripheral nerve sheath tumors: introducing and validating a novel type-specific prognostic model, Neuro-Oncology Advances 6(1): vdae083.
- Spreafico M., Hazewinkel A.-D., 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.
- Spreafico M., Hazewinkel A.-D., Sande M.A. J. van de, Gelderblom A.J. & Fiocco M. (2024), Machine learning versus Cox models for predicting overall survival in patients with osteosarcoma: a retrospective analysis of the EURAMOS-1 clinical trial data, Cancers 16(16): 2880.
- Spreafico M., Ieva F. & Fiocco M. (2024), Longitudinal latent overall toxicity (LOTox) profiles in osteosarcoma: a new taxonomy based on latent Markov models, Statistical Methods and Applications: Journal of the Italian Statistical Society : .
- Masci C., Spreafico M. & Ieva F. (2023), Joint modelling of hospitalizations and survival in Heart Failure patients: a discrete non parametric frailty approach. Chelli F.M., Ciommi M., Ingrassia S., Mariani F. & Recchioni M.C. (Eds.), Book of the Short Papers SIS 2023. SIS 2023 - Statistical Learning, Sustainability and Impact Evaluation 21 June 2023 - 23 June 2023: Pearson Italia.
- Spreafico 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 and Applications: Journal of the Italian Statistical Society 32: 271-298.
- Gregorio C., Spreafico M. & Ieva F. (2022), Optimal timing of bone-marrow transplant in myelodysplastic syndromes through multi-state modeling and microsimulation. Balzanella A., Bini M., Cavicchia C. & Verde R. (Eds.), Book of Short Papers. 51st Scientific Meeting of the Italian Statistical Society 22 June 2022 - 24 June 2022: Pearson Italia. 1425-1430.
- Spreafico M. (12 October 2022), Statistical modelling of time-varying covariates for survival data (Dissertatie. Mathematical Institute (MI), Faculty of Science, Leiden University). Supervisor(s) and Co-supervisor(s): Fiocco M., Ieva F.
- Spreafico M. & Ieva F. (2021), Functional modeling of recurrent events on time‐to‐event processes, Biometrical Journal 63(5): 948-967.
- Spreafico 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.
- Spreafico M., Ieva F. & Fiocco M. (2021), Modelling longitudinal latent toxicity profiles evolution in osteosarcoma patient. Perna C., Salvati N. & Schirripa Spagnolo F. (Eds.), Book of Short Papers SIS 2021. 50th Scientific Meeting of the Italian Statistical Society 21 June 2021 - 25 June 2021: Pearson Italia. 566-571.
- Spreafico M., Ieva F., Arlati F., Capello F., Fatone F., Fedeli F., Genalti G., Anninga J., Gelderblom H. & Fiocco M. (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(12): e053456.
- 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. Pollice A., Salvati N. & Schirripa Spagnolo F. (Eds.), Book of Short Papers SIS 2020. 50th Scientific Meeting of the Italian Statistical Society 21 June 2021 - 25 June 2021: Pearson Italia. 727-732.
- Spreafico M., Gasperoni F., Barbati G., Ieva F., Scagnetto A., Zanier L., Iorio A., Sinagra G. & Di Lenarda A. (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.
- Ieva F., Spreafico M. & Burba D. (2020), Modeling the effect of recurrent events on time-to-event processes by means of functional data. Aneiros G., Horová I., Hušková M. & Vieu P. (Eds.), Functional and High-Dimensional Statistics and Related Fields. International Workshop on Functional and Operatorial Statistics IWFOS 2020 24 June 2020 - 26 June 2020. Contributions to Statistics: Springer Cham. 137-144.