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Practical investigation of the performance of robust logistic regression to predict the genetic risk of hypertension

Logistic regression is usually applied to investigate the association between inherited genetic variants and a binary disease phenotype. A limitation of standard methods used to estimate the parameters of logistic regression models is their strong dependence on a few observations deviating from the...

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Bibliographic Details
Main Authors: Kesselmeier, Miriam (Author) , Legrand, Carine (Author) , Peil, Barbara (Author) , Kabisch, Maria (Author) , Fischer, Christine (Author) , Hamann, Ute (Author) , Lorenzo Bermejo, Justo (Author)
Format: Article (Journal) Conference Paper
Language:English
Published: 17 June 2014
In: BMC proceedings
Year: 2014, Volume: 8
ISSN:1753-6561
DOI:10.1186/1753-6561-8-S1-S65
Online Access:Resolving-System, lizenzpflichtig, Volltext: https://doi.org/10.1186/1753-6561-8-S1-S65
Verlag, lizenzpflichtig, Volltext: https://bmcproc.biomedcentral.com/articles/10.1186/1753-6561-8-S1-S65
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Author Notes:Miriam Kesselmeier, Carine Legrand, Barbara Peil, Maria Kabisch, Christine Fischer, Ute Hamann, Justo Lorenzo Bermejo
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Summary:Logistic regression is usually applied to investigate the association between inherited genetic variants and a binary disease phenotype. A limitation of standard methods used to estimate the parameters of logistic regression models is their strong dependence on a few observations deviating from the majority of the data.
Item Description:Gesehen am 14.10.2020
Physical Description:Online Resource
ISSN:1753-6561
DOI:10.1186/1753-6561-8-S1-S65

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