opchars.surv

Internal workhorse function to calculate operating characteristics for a given stopping rule and toxicity probability

Provides functions for creating, displaying, and evaluating stopping rules for safety monitoring in clinical studies.

Michael Martens

stoppingrule

Create and Evaluate Stopping Rules for Safety Monitoring

Qinghua Lian

opchars.surv function

<dl><dt>rule</dt>
<dd>A <code>rule.surv</code> object calculated by <code>calc.rule.surv()</code> function</dd>
<dt>p</dt>
<dd>The toxicity probability</dd>
<dt>MC</dt>
<dd>Number of Monte Carlo replicates to simulate for estimating operating characteristics. If <code>MC</code> = 0, a Poisson process assumption on the event process is used to compute operating characteristics.</dd>
<dt>A</dt>
<dd>Length of the enrollment period. Only required if <code>MC</code> &gt; 0.</dd>
<dt>s</dt>
<dd>Shape parameter for the Weibull distribution used to simulate event times. Only required if <code>MC</code> &gt; 0.</dd></dl>

Arguments

Operating Characteristics Function (Survival Data) — opchars.surv

<dl>

<dt>rule</dt>
<dd>A <code>rule.surv</code> object calculated by <code>calc.rule.surv()</code> function</dd>


<dt>p</dt>
<dd>The toxicity probability</dd>


<dt>MC</dt>
<dd>Number of Monte Carlo replicates to simulate for estimating operating characteristics. If <code>MC</code> = 0, a Poisson process assumption on the event process is used to compute operating characteristics.</dd>


<dt>A</dt>
<dd>Length of the enrollment period. Only required if <code>MC</code> &gt; 0.</dd>


<dt>s</dt>
<dd>Shape parameter for the Weibull distribution used to simulate event times. Only required if <code>MC</code> &gt; 0.</dd>

</dl>

opchars.surv: Operating Characteristics Function (Survival Data)

Description

Usage

Value

Arguments