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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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| Hoofdauteurs: | , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2010
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| Onderwerpen: | |
| Online toegang: | 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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