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A new joint screening method for right-censored time-to-event data with ultra-high dimensional covariates

In an ultra-high dimensional setting with a huge number of covariates, variable screening is useful for dimension reduction before applying a more refined method for model selection and statistical analysis. This paper proposes a new sure joint screening procedure for right-censored time-to-event da...

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Bibliografiska uppgifter
I publikationen:Stat Methods Med Res
Huvudupphovsmän: Liu, Yi, Chen, Xiaolin, Li, Gang
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2019
Ämnen:
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC8285086/
https://ncbi.nlm.nih.gov/pubmed/31359834
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280219864710
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