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Computationally Efficient Estimation for the Generalized Odds Rate Mixture Cure Model with Interval-Censored Data
For semiparametric survival models with interval censored data and a cure fraction, it is often difficult to derive nonparametric maximum likelihood estimation due to the challenge in maximizing the complex likelihood function. In this paper, we propose a computationally efficient EM algorithm, faci...
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| Pubblicato in: | J Comput Graph Stat |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5978779/ https://ncbi.nlm.nih.gov/pubmed/29861617 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10618600.2017.1349665 |
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