Variable Selection in Ultra-high Dimensional Feature Space for the Cox Model with Interval-Censored Data
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We develop a set of variable selection methods for the Cox model under interval censoring, in the ultra-high dimensional setting where the dimensionality can grow exponentially with the sample size. The methods select covariates via a penalized nonparametric m... ...
