Machine learning approach for analyzing mixed case interval censored data with a cured subgroup

Wisdom Aselisewine, Suvra Pal

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DOI: 10.1007/s10182-025-00544-3
Published: 2025-10-06
Container: AStA Advances in Statistical Analysis
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s10182-025-00544-3,
  title = {Machine learning approach for analyzing mixed case interval censored data with a cured subgroup},
  author = {Wisdom Aselisewine and Suvra Pal},
  year = {2025},
  journal = {AStA Advances in Statistical Analysis},
  doi = {10.1007/s10182-025-00544-3},
  url = {https://doi.org/10.1007/s10182-025-00544-3}
}

RIS

TY  - JOUR
TI  - Machine learning approach for analyzing mixed case interval censored data with a cured subgroup
AU  - Wisdom Aselisewine
AU  - Suvra Pal
PY  - 2025
JO  - AStA Advances in Statistical Analysis
DO  - 10.1007/s10182-025-00544-3
UR  - https://doi.org/10.1007/s10182-025-00544-3
ER  -

APA

Aselisewine, W., & Pal, S. (2025). Machine learning approach for analyzing mixed case interval censored data with a cured subgroup. AStA Advances in Statistical Analysis. https://doi.org/10.1007/s10182-025-00544-3

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crossref · retrieved 2026-11-05T15:39:25.093Z