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Testing and Estimation in Marker-Set Association Study Using Semiparametric Quantile Regression Kernel Machine
We consider quantile regression for partially linear models where an outcome of interest is related to covariates and a marker set (e.g., gene or pathway). The covariate effects are modeled parametrically and the marker set effect of multiple loci is modeled using kernel machine. We propose an effic...
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| Pubblicato in: | Biometrics |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4870165/ https://ncbi.nlm.nih.gov/pubmed/26575303 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12438 |
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