BOINTable {lrstat}R Documentation

BOIN Decision Table for Dose-Finding Trials

Description

Generates the decision table for the Bayesian Optimal Interval (BOIN) design, a widely used approach for dose-escalation trials that guides dose-finding decisions based on observed toxicity rates.

Usage

BOINTable(
  nMax = NA_integer_,
  pT = 0.3,
  phi1 = 0.6 * pT,
  phi2 = 1.4 * pT,
  a = 1,
  b = 1,
  pExcessTox = 0.95
)

Arguments

nMax

The maximum number of subjects allowed in a dose cohort.

pT

The target toxicity probability. Defaults to 0.3.

phi1

The lower equivalence limit for the target toxicity probability.

phi2

The upper equivalence limit for the target toxicity probability.

a

The prior toxicity shape parameter for the Beta prior.

b

The prior non-toxicity shape parameter for the Beta prior.

pExcessTox

The threshold for excessive toxicity. If the posterior probability that the true toxicity rate exceeds pT is greater than pExcessTox, the current and all higher doses will be excluded from further use to protect future participants. Defaults to 0.95.

Value

An S3 class BOINTable object with the following components:

Author(s)

Kaifeng Lu, kaifenglu@gmail.com

References

Liu, S., & Yuan, Y. (2015). Bayesian optimal interval designs for phase I clinical trials. Journal of the Royal Statistical Society: Series C (Applied Statistics), 64(3), 507-523.

Examples


BOINTable(nMax = 18, pT = 0.3, phi = 0.6*0.3, phi2 = 1.4*0.3)


[Package lrstat version 0.2.15 Index]