Quantile regression for the statistical analysis of immunological data with many non-detects

Quantile regression for the statistical analysis of immunological data with many non-detects

<p>Abstract</p> <p>Background</p> <p>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,...

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Bibliographic Details
Main Authors: Eilers Paul HC, Röder Esther, Savelkoul Huub FJ, van Wijk Roy
Format: Article
Language:English
Published: BMC 2012-07-01
Series:BMC Immunology
Subjects:
Non-detects
Outliers
Robustness
Data analysis
Statistical
Quantile regression
Soluble biological markers
Immunological data
Online Access:http://www.biomedcentral.com/1471-2172/13/37

Internet

http://www.biomedcentral.com/1471-2172/13/37

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