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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Autores principales: Zanderigo, Francesca, Ogden, Robert Todd, Chang, Chung, Choy, Stephen, Wong, Andrew, Parsey, Ramin Vaziri
Formato: Artigo
Lenguaje:Inglês
Publicado: Nature Publishing Group 2010
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Original Article
Acceso en línea: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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