safe.dose: Identify safe/acceptable doses from stage 1 based on observed...

In iAdapt: Two-Stage Adaptive Dose-Finding Clinical Trial Design

Description

Function safe.dose() distinguishes acceptable from unacceptable doses

Usage

safe.dose(dose, dose.tox, p1, p2, K, coh.size)

Arguments

dose	number of doses to be tested (scalar)
dose.tox	vector of true toxicities for each dose. Values range from 0 - 1.
p1	toxicity under null (unsafe DLT rate). Values range from 0 - 1.
p2	toxicity under alternative (safe DLT rate). Values range from 0 - 1; p1 > p2
K	threshold for LR. Takes integer values: 1,2,...(recommended K=2)
coh.size	cohort size (number of patients) per dose (Stage 1)

Value

List of the following objects:

• alloc.safe - matrix of assignments only for acceptable doses (to be used in stage 2) and their corresponding toxicities

• alloc.total - vector of all dose assignments from stage 1

• n1 - total number of subjects allocated in stage 1

Examples

dose = 5                                      # Dose levels
dose.tox <- c(0.05, 0.10, 0.15, 0.20, 0.30)   # True toxicity per dose
p1 = 0.40                                     # Unacceptable DLT rate
p2 = 0.15                                     # Acceptable DLT rate
K = 2                                         # Likelihood-ratio (LR) threshold
coh.size = 3                                  # Assign 3 pts per dose in stage 1

safe.dose(dose = dose, dose.tox = dose.tox, p1 = p1, p2 = p2, K = K, coh.size = coh.size) 

iAdapt documentation built on Aug. 6, 2021, 9:08 a.m.