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Variance Estimation in Censored Quantile Regression via Induced Smoothing

Statistical inference in censored quantile regression is challenging, partly due to the unsmoothness of the quantile score function. A new procedure is developed to estimate the variance of Bang and Tsiatis’s inverse-censoring-probability weighted estimator for censored quantile regression by employ...

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Bibliografski detalji
Glavni autori: Panga, Lei, Lu, Wenbin, Wang, Huixia Judy
Format: Artigo
Jezik:Inglês
Izdano: 2010
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3338150/
https://ncbi.nlm.nih.gov/pubmed/22547899
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2010.10.018
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