Penalized estimation of semiparametric transformation models with interval-censored data and application to Alzheimer's disease
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Variable selection or feature extraction is fundamental to identify important risk factors from a large number of covariates and has applications in many fields. In particular, its applications in failure time data analysis have been recognized and many method... ...