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Prediction of cancer survival for cohorts of patients most recently diagnosed using multi-model inference
Despite a large choice of models, functional forms and types of effects, the selection of excess hazard models for prediction of population cancer survival is not widespread in the literature. We propose multi-model inference based on excess hazard model(s) selected using Akaike information criteria...
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| Pubblicato in: | Stat Methods Med Res |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
SAGE Publications
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7543029/ https://ncbi.nlm.nih.gov/pubmed/33019901 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280220934501 |
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