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Linear regression analysis of survival data with missing censoring indicators
Linear regression analysis has been studied extensively in a random censorship setting, but typically all of the censoring indicators are assumed to be observed. In this paper, we develop synthetic data methods for estimating regression parameters in a linear model when some censoring indicators are...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2010
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3020262/ https://ncbi.nlm.nih.gov/pubmed/20559722 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10985-010-9175-8 |
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