Dr. E. (Eni) Musta
- Science Park 107
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Postbus 94248
1090 GE Amsterdam
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Profile
I am currently an assistant professor in the Statistics group of the Korteweg-de Vries Institute for Mathematics at the University of Amsterdam. I have studied Mathematics at the University of Pisa, where I obtained my master's degree in March 2015. In April 2019 I received my PhD degree from Delft University of Technology with a thesis on smooth nonparametric estimation under shape constraints. Afterwards, I was a postdoctoral researcher at ORSTAT, KU Leuven until August 2020.
My research focuses on survival analysis, non- and semi-parametric estimation methods and shape constrained statistical inference. Currently I am working on development of new methodologies within the framework of cure rate models for dealing with survival data in the presence of long-term survivors or cured individuals. I focus mainly on theoretical and methodological aspects of statistics but I am also interested in applications of statistical methods in the medical field. I have recently started a collaboration with Leiden University Medical Center and Princess Máxima Center for Pediatric Oncology on the project “Long term survival after childhood osteosarcoma: cure models”.
More information about my research and teaching activities can be found on my personal website my personal website. A complete list of my publications can be found here.
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Publications
2024
- Dobler, D., & Musta, E. (2024). A two-sample comparison of mean survival times of uncured subpopulations. Electronic Journal of Statistics, 18(2), 3107-3169. https://doi.org/10.1214/24-EJS2249
- Musta, E., & Yuen, T. P. (2024). Single-index mixture cure model under monotonicity constraints. Electronic Journal of Statistics, 18(2). https://doi.org/10.1214/24-EJS2273
Musta, E., Patilea, V., & Van Keilegom, I. (2024). A two-step estimation procedure for semiparametric mixture cure models. Scandinavian Journal of Statistics.- Musta, E., Patilea, V., & Van Keilegom, I. (2024). Regression estimation using surrogate responses obtained by presmoothing. Statistica Neerlandica. Advance online publication. https://doi.org/10.1111/stan.12351
2022
- Musta, E., Patilea, V., & Van Keilegom, I. (2022). A presmoothing approach for estimation in the semiparametric Cox mixture cure model. Bernoulli, 28(4), 2689-2715. Advance online publication. https://doi.org/10.3150/21-BEJ1434 [details]
- Musta, E., van Geloven, N., Anninga, J. K., Gelderblom, A. J., & Fiocco, M. (2022). Short-term and long-term prognostic value of histological response and intensified chemotherapy in osteosarcoma: a retrospective reanalysis of the BO06 trial. BMJ Open, 12(5), Article e052941. https://doi.org/10.1136/bmjopen-2021-052941 [details]
2021
- Musta, E., & Van Keilegom, I. (2021). A simulation-extrapolation approach for the mixture cure model with mismeasured covariates. Electronic Journal of Statistics, 15(2), 3708 - 3742. https://doi.org/10.1214/21-EJS1874 [details]
2023
- Dobler, D., & Musta, E. (2023). A two-sample comparison of mean survival times of uncured sub-populations. https://doi.org/10.48550/arXiv.2307.03082
2022
- Musta, E., & Yuen, T. P. (2022). Single-index mixture cure model under monotonicity constraints. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2211.09464
- Musta, E., Patilea, V., & Van Keilegom, I. (2022). A 2-step estimation procedure for semiparametric mixture cure models. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2207.08237 [details]
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Ancillary activities
No ancillary activities
Musta, E., Patilea, V., & Van Keilegom, I. (2024). A two-step estimation procedure for semiparametric mixture cure models. Scandinavian Journal of Statistics.