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Bayesian variable selection for multivariate zero-inflated models: Application to microbiome count data
Microorganisms play critical roles in human health and disease. They live in diverse communities in which they interact synergistically or antagonistically. Thus for estimating microbial associations with clinical covariates, such as treatment effects, joint (multivariate) statistical models are pre...
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| Pubblicato in: | Biostatistics |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7308073/ https://ncbi.nlm.nih.gov/pubmed/30590511 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxy067 |
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