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

Perrine SoretMarta AvalosLinda WittkopDaniel CommengesRodolphe Thiébaut
Published in: BMC medical research methodology (2018)
The proposed approach deals with high-dimensional predictors and left-censored outcomes and has shown its interest for predicting HIV viral load according to HIV mutations.
Keyphrases
  • antiretroviral therapy
  • hiv positive
  • hiv infected
  • hiv testing
  • human immunodeficiency virus
  • hepatitis c virus
  • hiv aids
  • men who have sex with men
  • south africa
  • type diabetes
  • skeletal muscle