ewoc2: Escalation With Overdose Control for two drugs combination

In EWOC2: Escalation with Overdose Control using 2 Drug Combinations

Description

Finding the doses of next cohort for a phase I clinical trial based on Escalation with Overdose Control (EWOC) design considering the classic parametrization for binary response and two agents.

Usage

ewoc2(dose.a, dose.b, resp, theta, alpha, Min.Dose.A, Max.Dose.A, Min.Dose.B, Max.Dose.B, 
a01, b01, a10, b10, a00, b00, a, b, delta1x, delta1y, burn, mm, delta1)

## Default S3 method:
ewoc2(dose.a, dose.b, resp, theta, alpha, Min.Dose.A, Max.Dose.A, Min.Dose.B, Max.Dose.B, 
a01, b01, a10, b10, a00, b00, a, b, delta1x, delta1y, burn=4000, mm=2000, delta1=0.05)

Arguments

dose.a	a numeric vector of allowable doses for drug A
dose.b	a numeric vector of allowable doses for drug B
resp	a numeric vector of allowable responses, 0 or 1
theta	a numeric value defining the proportion of expectd patients to experience a medically unacceptable, dose-limiting toxicity (DLT) if administered the MTD.
alpha	a numerical value defining the probability that dose selected by EWOC is higher than the MTD.
Min.Dose.A	a numeric value defining the lower bound of the support of the MTD for drug A
Max.Dose.A	a numeric value defining the upper bound of the support of the MTD for drug A
Min.Dose.B	a numeric value defining the lower bound of the support of the MTD for drug B
Max.Dose.B	a numeric value defining the upper bound of the support of the MTD for drug B
a01	a numeric value for beta prior distribution associated with parameter rho01
b01	a numeric value for beta prior distribution associated with parameter rho01
a10	a numeric value for beta prior distribution associated with parameter rho10
b10	a numeric value for beta prior distribution associated with parameter rho10
a00	a numeric value for beta prior distribution associated with parameter rho00
b00	a numeric value for beta prior distribution associated with parameter rho00
a	a numeric value for gamma prior distribution associated with parameter eta
b	a numeric value for the gamma prior distribution associated with the parameter eta
delta1x	Maximum dose escalation at each step for drug A, the default is 0.2*(Max.Dose.A-Min.Dose.A if not assigned)
delta1y	Maximum dose escalation at each step for drug B, the default is 0.2*(Max.Dose.B-Min.Dose.B if not assigned)
burn	Number of iterations for adaption, see n.adapt in jags.model for detail
mm	Number of iterations to monitor, see n.iter in code.samples for detail
delta1	Threshold for toxicity

Value

data	a data frame containing the current doses and responses set
parameters	list of input parameters
priors	list of prior parameters
nextdose.x	the next recommended doses for drug A
nextdose.y	the next recommended doses for drug B

References

Tighiouart M, Li Q and Rogatko A. A Bayesian adaptive design for estimating the maximuym tolerated dose curve using drug combinations in cancer phase I clinical trials. Statistics in Medicine. 2017, 36: 280-290.

Examples

test = ewoc2(dose.a=c(0,0),dose.b=c(0,0),resp=c(0,0),theta=0.33,alpha=0.25, 
Min.Dose.A=0, Max.Dose.A=1, Min.Dose.B=0, Max.Dose.B=1,a01=1,b01=1,a10=1,b10=1,
a00=1,b00=1,a=0.8,b=0.0384)
print(test)

EWOC2 documentation built on May 2, 2019, 2:46 a.m.