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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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Bibliografiske detaljer
Udgivet i:Lifetime Data Anal
Main Authors: Chen, Xiaolin, Cai, Jianwen
Format: Artigo
Sprog:Inglês
Udgivet: 2017
Fag:
Online adgang: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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