find.cutoffs {SAME}

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)