Generate Dropout Indicators for Binary or Continuous Outcomes

Calls the implementation from the common 2ArmPatientDropout example. Generates an independent censoring indicator for each subject in binary or continuous outcome designs using one dropout probability. A value of 1 indicates a completer and 0 indicates a dropout.

Usage

GenerateCensoringUsingBinomialProportion(NumSub, ProbDrop, UserParam = NULL)

Arguments

NumSub

Integer number of subjects.

ProbDrop

Numeric dropout probability shared by both arms.

UserParam

Optional list of user-defined parameters.

Value

A list in the format required by the dropout integration point.