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A Latent Factor Linear Mixed Model for High Dimensional Longitudinal Data Analysis
High dimensional longitudinal data involving latent variables such as depression and anxiety that cannot be quantified directly are often encountered in biomedical and social sciences. Multiple responses are used to characterize these latent quantities, and repeated measures are collected to capture...
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2013
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3788857/ https://ncbi.nlm.nih.gov/pubmed/23640746 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.5825 |
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