gridoptim {boinet}

Grid search to find optimal threshold values of toxicity and efficacy interval

Description

Given non-informative prior probabilities of the six hypotheses, a grid search approach is used to find the optimal threshold values.

Usage

gridoptim(pi=rep(1/6,6), phi, phi1, phi2, delta, delta1, n=100)

Arguments

pi

Prior probability of 6 hypotheses. The default value is pi=rep(1/6,6).

phi

Target toxicity probability.

phi1

Lower bound of toxicity probability.

phi2

Upper bound of toxicity probability.

delta

Target efficacy probability.

delta1

Lower bound of efficacy probability.

n

Number of patients. The default value is n=100.

Value

The gridoptim returns optimal threshold values of upper and lower toxicity/efficacy boundaries used in dose-escalation procedure.

Examples

gridoptim(phi=0.33,phi1=0.033,phi2=0.462,delta=0.70,delta1=0.42);