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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Detalles Bibliográficos
Autores principales: Eilers, Paul HC, Röder, Esther, Savelkoul, Huub FJ, van Wijk, Roy Gerth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3447667/
https://www.ncbi.nlm.nih.gov/pubmed/22769433
http://dx.doi.org/10.1186/1471-2172-13-37

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3447667/
https://www.ncbi.nlm.nih.gov/pubmed/22769433
http://dx.doi.org/10.1186/1471-2172-13-37

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