StoppingMTDdistribution
is the class for stopping based on the posterior
distribution of the MTD. It is used for the cases where the stopping occurs
when the probability of MTD > thresh * next_dose
is greater than or equal
to prob
, where the next_dose
is the recommended next best dose.
Here, the MTD is defined as the dose that reaches a specific target
probability of the occurrence of a DLT.
Usage
StoppingMTDdistribution(
target = 0.33,
thresh = 0.5,
prob = 0.9,
report_label = NA_character_
)
.DefaultStoppingMTDdistribution()
Arguments
- target
(proportion
)
see slot definition.
- thresh
(proportion
)
see slot definition.
- prob
(proportion
)
see slot definition.
- report_label
(string
or NA
)
see slot definition.
Slots
target
(proportion
)
the target toxicity probability (except 0 or 1)
defining the MTD.
thresh
(proportion
)
the threshold (except 0 or 1) relative to the
recommended next best dose.
prob
(proportion
)
required minimum probability, except 0 or 1.
Note
Typically, end users will not use the .DefaultStoppingMTDDistribution()
function.
Examples
# As example, here is the rule for stopping the study if there is at least 0.9
# probability that MTD > 0.5 * next_dose. Here MTD is defined as the dose for
# which prob(DLT) = 0.33
my_stopping <- StoppingMTDdistribution(
target = 0.33,
thresh = 0.5,
prob = 0.9
)