We propose a methodology for testing a treatment effect when the outcome variables (e.g. survival times) are subject to informative censoring and the data structure for every subject is high-dimensional. In particular, we deal with current status data, interval censored data, right-censored data, and bivariate right-censored data, where we allow for each of these data structures the presence of time-dependent covariates.

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