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Additive hazards regression with censoring indicators missing at random
In this article, the authors consider a semiparametric additive hazards regression model for right-censored data that allows some censoring indicators to be missing at random. They develop a class of estimating equations and use an inverse probability weighted approach to estimate the regression par...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2010
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3010164/ https://ncbi.nlm.nih.gov/pubmed/21197117 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cjs.10072 |
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