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Additive quantile regression for clustered data with an application to children’s physical activity
Additive models are flexible regression tools that handle linear as well as non-linear terms. The latter are typically modelled via smoothing splines. Additive mixed models extend additive models to include random terms when the data are sampled according to cluster designs (e.g. longitudinal).These...
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| 出版年: | J R Stat Soc Ser C Appl Stat |
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| 第一著者: | |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6664292/ https://ncbi.nlm.nih.gov/pubmed/31363233 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/rssc.12333 |
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