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Additive Mixed Effect Model for Clustered Failure Time Data

We propose an additive mixed effect model to analyze clustered failure time data. The proposed model assumes an additive structure and include a random effect as an additional component. Our model imitates the commonly used mixed effect models in repeated measurement analysis but under the context o...

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Hlavní autoři: Cai, Jianwen, Zeng, Donglin
Médium: Artigo
Jazyk:Inglês
Vydáno: 2011
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3139827/
https://ncbi.nlm.nih.gov/pubmed/21418052
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2011.01590.x
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