identify_censoring is a data descriptor function used to identify a censoring
variable and potentially supply a formula and estimation function.
identify_censoring(name, formula = ~1, estimator = estimate_censor_coxph, ...)
The name of a variable in the input data to be used as a censoring time. This should be supplied as bare symbol not a character string. The censoring date should be in days from time 0.
A formula object that can be used to build the censoring model. Note this does not need to include treatment since the censoring models are fit within treatment groups. Default to a null model, ~1.
A function that can be used to predict the probability of being uncensored
Additional arguments to be passed to estimating function.
A object that can be used by specify_models to add information about
the censoring to the data description function.
A object that can be used by
specify_models to add censoring information to the data description