Article
Robust linear regression methods in association studies.
Bioinformatics (Oxford, England) - 15 Mar 2011
Lourenço V M, Pires A M, Kirst M
Abstract excerpt
MOTIVATION: It is well known that data deficiencies, such as coding/rounding errors, outliers or missing values, may lead to misleading results for many statistical methods. Robust statistical methods are designed to accommodate certain types of those deficiencies, allowing for reliable results under various conditions. We analyze the case of statistical tests to detect associations between genomic individual...
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