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Robust semiparametric gene-environment interaction analysis using sparse boosting
For the pathogenesis of complex diseases, gene-environment (G-E) interactions have been shown to have important implications. G-E interaction analysis can be challenging with the need to jointly analyze a large number of main effects and interactions and to respect the “main effects, interactions” h...
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| 出版年: | Stat Med |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6736719/ https://ncbi.nlm.nih.gov/pubmed/31359454 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.8322 |
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