plot.pop

Plot the objects returned by other functions, including (1) flowchart of PoP design;
(2) operating characteristics of the design, including selection percentage and the
number of patients treated at each dose;
(3) the estimate of toxicity probability for each dose and corresponding 95% credible interval

The primary goal of phase I clinical trials is to find the maximum tolerated dose (MTD). To reach this objective, we introduce a new design for phase I clinical trials, the posterior predictive (PoP) design. The PoP design is an innovative model-assisted design that is as simply as the conventional algorithmic designs as its decision rules can be pre-tabulated prior to the onset of trial, but is of more flexibility of selecting diverse target toxicity rates and cohort sizes. The PoP design has desirable properties, such as coherence and consistency. Moreover, the PoP design provides better empirical performance than the BOIN and Keyboard design with respect to high average probabilities of choosing the MTD and slightly lower risk of treating patients at subtherapeutic or overly toxic doses.

Xinying Fang

PoPdesign

Posterior Predictive (PoP) Design for Phase I Clinical Trials

Chenqi Fu

Shouhao Zhou

plot.pop function

<dl><dt>x</dt>
<dd>the object returned by other functions</dd>
<dt>...</dt>
<dd>ignored arguments</dd></dl>

Arguments

Plot the flowchart and simulation results for PoP designs — plot.pop

<dl>

<dt>x</dt>
<dd>the object returned by other functions</dd>


<dt>...</dt>
<dd>ignored arguments</dd>

</dl>

plot.pop: Plot the flowchart and simulation results for PoP designs

Description

Usage

Value

Arguments