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Reweighted estimators for additive hazard model with censoring indicators missing at random
Survival data with missing censoring indicators are frequently encountered in biomedical studies. In this paper, we consider statistical inference for this type of data under the additive hazard model. Reweighting methods based on simple and augmented inverse probability are proposed. The asymptotic...
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| Publicado no: | Lifetime Data Anal |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5794663/ https://ncbi.nlm.nih.gov/pubmed/28766089 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10985-017-9398-z |
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