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Identifying gene-environment interactions for prognosis using a robust approach
For many complex diseases, prognosis is of essential importance. It has been shown that, beyond the main effects of genetic (G) and environmental (E) risk factors, gene-environment (G × E) interactions also play a critical role. In practical data analysis, part of the prognosis outcome data can have...
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| Veröffentlicht in: | Econom Stat |
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| Hauptverfasser: | , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2016
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6541416/ https://ncbi.nlm.nih.gov/pubmed/31157309 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ecosta.2016.10.004 |
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