A note on promotion time cure models with a new biological consideration
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866929718531457024 |
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| author | Zhao, Zhi Kızılaslan, Fatih |
| author_facet | Zhao, Zhi Kızılaslan, Fatih |
| contents | We introduce a generalized promotion time cure model motivated by a new biological consideration. The new approach is flexible to model heterogeneous survival data, in particular for addressing intra-sample heterogeneity. We also indicate that the new approach is suited to model a series or parallel system consisting of multiple subsystems in reliability analysis. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_17188 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A note on promotion time cure models with a new biological consideration Zhao, Zhi Kızılaslan, Fatih Methodology Systems and Control Genomics Quantitative Methods Subcellular Processes We introduce a generalized promotion time cure model motivated by a new biological consideration. The new approach is flexible to model heterogeneous survival data, in particular for addressing intra-sample heterogeneity. We also indicate that the new approach is suited to model a series or parallel system consisting of multiple subsystems in reliability analysis. |
| title | A note on promotion time cure models with a new biological consideration |
| topic | Methodology Systems and Control Genomics Quantitative Methods Subcellular Processes |
| url | https://arxiv.org/abs/2408.17188 |