maximization_phase

This function is used to perform maximization to select the dose level with maximum efficacy probability for next patient or cohort of patients allocation when the current sample size is greater than or equal to a pre-specified number.

Implements the adaptive designs for integrated phase I/II trials of drug combinations via continual reassessment method (CRM) to evaluate toxicity and efficacy simultaneously for each enrolled patient cohort based on Bayesian inference. It supports patients assignment guidance in a single trial using current enrolled data, as well as conducting extensive simulation studies to evaluate operating characteristics before the trial starts. It includes various link functions such as empiric, one-parameter logistic, two-parameter logistic, and hyperbolic tangent, as well as considering multiple prior distributions of the parameters like normal distribution, gamma distribution and exponential distribution to accommodate diverse clinical scenarios. Method using Bayesian framework with empiric link function is described in: Wages and Conaway (2014) <doi:10.1002/sim.6097>.

Junying Wang

crm12Comb

Phase I/II CRM Based Drug Combination Design

Song Wu

Jie Yang

maximization_phase function

<dl> <dt>pE_est</dt>
<dd>A vector of estimated efficacy probability in the acceptable set.</dd> <dt>seed_m</dt>
<dd>An integer for the seed to generate random numbers used in maximization phase, default is NULL.</dd></dl>

Arguments

Maximization phase — maximization_phase

<dl>

 <dt>pE_est</dt>
<dd>A vector of estimated efficacy probability in the acceptable set.</dd>

 <dt>seed_m</dt>
<dd>An integer for the seed to generate random numbers used in maximization phase, default is NULL.</dd>

</dl>

maximization_phase: Maximization phase

Description

Usage

Value

Arguments

Details

Examples