next.comb.kb {Keyboard} | R Documentation |
This function determines the dose combination for the next cohort of patients in drug-combination trials.
next.comb.kb(
target,
npts,
ntox,
dose.curr,
n.earlystop = 100,
marginL = 0.05,
marginR = 0.05,
cutoff.eli = 0.95,
extrasafe = FALSE,
offset = 0.05
)
target |
The target dose-limiting toxicity (DLT) rate. |
npts |
A |
ntox |
A |
dose.curr |
The current dose combination, i.e., the dose combination that was used to treat the most recently enrolled cohort of patients. |
n.earlystop |
The early stopping parameter. If the number of patients
treated at the current dose reaches |
marginL |
The difference between the target and the lower limit of the
"target key" (proper dosing interval) to be defined. |
marginR |
The difference between the target and the upper limit of the
"target key" (proper dosing interval) to be defined. |
cutoff.eli |
The cutoff value to eliminate an overly toxic dose and all
higher doses for safety. |
extrasafe |
Set |
offset |
A small positive number (between 0 and 0.5) to control how
strict the stopping rule is when |
Given the observed data thus far, this function determines the dose
combination for treating the next cohort of new patients. The observed data
are as follows: the number of patients treated at each dose combination (npts
), the number of patients who experienced dose-limiting toxicities (DLTs)
at each dose combination (ntox
) and the level of the current
dose (dose.curr
). The number of patients for doses that have not been used in the trial is zero.
This function returns the recommended dose for treating the next
cohort of patients ($next_dc
).
This function uses get.boundary.comb.kb
.
Xiaomeng Yuan, Chen Li, Hongying Sun, Li Tang and Haitao Pan
Yan F, Mandrekar SJ, Yuan Y. Keyboard: A Novel Bayesian Toxicity Probability Interval Design for Phase I Clinical Trials. Clinical Cancer Research. 2017; 23:3994-4003. http://clincancerres.aacrjournals.org/content/23/15/3994.full-text.pdf
Pan H, Lin R, Yuan Y. Keyboard design for phase I drug-combination trials. Contemporary Clinical Trials. 2020. https://doi.org/10.1016/j.cct.2020.105972
Other drug-combination functions:
get.boundary.comb.kb()
,
get.oc.comb.kb()
,
select.mtd.comb.kb()
### Drug-combination trial ###
n <- matrix(c(3, 0, 0, 0, 0,
7, 6, 0, 0, 0,
0, 0, 0, 0, 0), ncol=5, byrow=TRUE)
y <- matrix(c(0, 0, 0, 0, 0,
1, 1, 0, 0, 0,
0, 0, 0, 0, 0), ncol=5, byrow=TRUE)
nxt.comb <- next.comb.kb(target=0.3, npts=n, ntox=y, dose.curr=c(2, 2))
summary_kb(nxt.comb)