Lasso regularization for left-censored Gaussian outcome and high-dimensional predictors

Lasso regularization for left-censored Gaussian outcome and high-dimensional predictors

Abstract Background Biological assays for the quantification of markers may suffer from a lack of sensitivity and thus from an analytical detection limit. This is the case of human immunodeficiency virus (HIV) viral load. Below this threshold the exact value is unknown and values are consequently le...

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Bibliographic Details
Main Authors: Perrine Soret, Marta Avalos, Linda Wittkop, Daniel Commenges, Rodolphe Thiébaut
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BMC Medical Research Methodology
Subjects:
Limit of detection
Buckley-James least squares procedure
HIV viral load
Drug resistance
HIV genotypic mutations
Cross-sectional studies
Online Access:http://link.springer.com/article/10.1186/s12874-018-0609-4

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http://link.springer.com/article/10.1186/s12874-018-0609-4

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