Lasso regularization for left-censored Gaussian outcome and high-dimensional predictors.
Perrine SoretMarta AvalosLinda WittkopDaniel CommengesRodolphe ThiébautPublished 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.