find.cutoffs: Function to calibrate the cutoff points under null hypothesis

In SAME: Seamless Adaptive Multi-Arm Multi-Stage Enrichment

Function to calibrate the cutoff points under null hypothesis

Description

This function is used to calibrate the cutoff points under null hypothesis using a multi-arm multi-stage biomarker-enriched design with time-to-event endpoints.

Usage

find.cutoffs(
  median.c,
  K,
  L,
  lfu,
  alpha,
  power,
  accrate,
  theta,
  bio.preva,
  FAtime.phase3,
  N.iter
)

Arguments

median.c	The median survival time for control group
K	Number of biomarkers
L	Information fraction in terms of the accumulative events in phase II stage, e.g., K = c(1/4,1/2,1)
lfu	Follow-up time
alpha	One-sided familywise error rate
power	Power
accrate	Accrual rate
theta	A clinically meaningful treatment effect size defined by clinicians
bio.preva	Prevalence of biomarker(s)
FAtime.phase3	the study ending time of phase III
N.iter	Number of iterations

Value

find.cutoffs() returns the calibrated cutoff points that can control the type I error rate.

Examples

find.cutoffs(median.c=12,K=2,L=c(1/4,1/2,1),lfu=0,alpha=0.05,power=0.9,
             accrate=15,theta=log(1.25),bio.preva=c(0.4,0.6),FAtime.phase3=48,
             N.iter=3)

SAME documentation built on Jan. 16, 2023, 5:06 p.m.