opchars.surv: Operating Characteristics Function (Survival Data)

In stoppingrule: Create and Evaluate Stopping Rules for Safety Monitoring

Operating Characteristics Function (Survival Data)

Description

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

Usage

opchars.surv(rule, p, MC, A, s = 1)

Arguments

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

Value

A list containing the rejection probability p, and the corresponding rejection probability and number of events. If MC is not NULL, the expected number of enrolled patients and total follow up time are also included.

stoppingrule documentation built on April 12, 2025, 1:55 a.m.