TwoSampleSurvival.Conditional: Test for two sample conditional data in exponential model for...

Description Usage Arguments References

View source: R/TwoSampleSurvival.Conditional.R

Description

unconditional versus conditional

Usage

1
TwoSampleSurvival.Conditional(alpha,beta,lam1,lam2,eta1,eta2,k,ttotal,taccrual,g1,g2)

Arguments

alpha

significance level

beta

power = 1-beta

lam1

the hazard rates of control group

lam2

the hazard rates of a test drug

eta1

in control group, the losses are exponentially distributed with loss hazard rate eta1

eta2

in treatment group, the losses are exponentially distributed with loss hazard rate eta2

k

k=n1/n2 sample size ratio

ttotal

Total trial time

taccrual

accrual time period

g1

parameter for the entry distribution of control group, which is uniform patient entry with gamma1=0.

g2

parameter for the entry distribution of treatment group, which is uniform patient entry with gamma2=0.

References

Chow SC, Shao J, Wang H. Sample Size Calculation in Clinical Research. New York: Marcel Dekker, 2003


TrialSize documentation built on July 8, 2020, 7:19 p.m.