The tuning parameter (lambda) resulting in minimal prediction error (based on deviance) will be selected with the help of 10-fold cross-validation. The GLMMLasso package for multilevel data will be used to fit the lasso model, which will subsequently be refit with mixed-effects logistic regression using only the variables selected by lasso regression.