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Doubly regularized estimation and selection in linear mixed-effects models for high-dimensional longitudinal data
The linear mixed-effects model (LMM) is widely used in the analysis of clustered or longitudinal data. This paper aims to address analytic challenges arising from estimation and selection in the application of the LMM to high-dimensional longitudinal data. We develop a doubly regularized approach in...
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| Publicado no: | Stat Interface |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6269103/ https://ncbi.nlm.nih.gov/pubmed/30510614 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4310/SII.2018.v11.n4.a15 |
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