simulate_dropout: Simulate drop-out

In rbmi: Reference Based Multiple Imputation

Simulate drop-out

Description

Simulate drop-out

Usage

simulate_dropout(prob_dropout, ids, subset = rep(1, length(ids)))

Arguments

prob_dropout	Numeric that specifies the probability that a post-baseline visit is affected by study drop-out.
ids	Factor variable that specifies the id of each subject.
subset	Binary variable that specifies the subset that could be affected by drop-out. I.e. subset is a binary vector of length equal to the length of ids that takes value 1 if the corresponding visit could be affected by drop-out and 0 otherwise.

Details

subset can be used to specify outcome values that cannot be affected by the drop-out. By default subset will be set to 1 for all the values except the values corresponding to the baseline outcome, since baseline is supposed to not be affected by drop-out. Even if subset is specified by the user, the values corresponding to the baseline outcome are still hard-coded to be 0.

Value

A binary vector of length equal to the length of ids that takes value 1 if the corresponding outcome is affected by study drop-out.

rbmi documentation built on Nov. 24, 2023, 5:11 p.m.