Robust fitting of [(11)C]-WAY-100635 PET data

Fitting of a positron emission tomography (PET) time–activity curve is typically accomplished according to the least squares (LS) criterion, which is optimal for data having Gaussian distributed errors, but not robust in the presence of outliers. Conversely, quantile regression (QR) provides robust...

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Detalhes bibliográficos
Main Authors: Zanderigo, Francesca, Ogden, Robert Todd, Chang, Chung, Choy, Stephen, Wong, Andrew, Parsey, Ramin Vaziri
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group 2010
Assuntos:
Original Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2949218/
https://ncbi.nlm.nih.gov/pubmed/20179725
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/jcbfm.2010.20
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