Lasso logistic regression (LLR)

FB Florent Le Borgne
AC Arthur Chatton
ML Maxime Léger
RL Rémi Lenain
YF Yohann Foucher
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L1 regularisation allows for the selection of the predictors. To obtain a flexible model, we considered all the possible interactions between the exposure status Z and covariates X. Moreover, we used b-splines for the quantitative variables of the vector X. We used the glmnet function included in the glmnet package.

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