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Quantile regression for the statistical analysis of immunological data with many non-detects
BACKGROUND: Immunological parameters are hard to measure. A well-known problem is the occurrence of values below the detection limit, the non-detects. Non-detects are a nuisance, because classical statistical analyses, like ANOVA and regression, cannot be applied. The more advanced statistical techn...
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| Autores principales: | , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
BioMed Central
2012
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3447667/ https://ncbi.nlm.nih.gov/pubmed/22769433 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2172-13-37 |
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