bhr.comp: Function to statistically compare two balanced hazard ratios
In survcomp: Performance Assessment and Comparison for Survival Analysis

Description Usage Arguments Details Value Author(s) References See Also Examples

This function compares two balanced hazard ratios from their betas and standard errors as computed by a Cox model for instance. The statistical test is a Student t test for dependent samples. The two balanced hazard ratios must be computed from the same survival data.

1	bhr.comp(bhr1, bhr2)

`bhr1`	first balanced hazard ratio.
`bhr2`	second balanced hazard ratio.

The two balanced hazard ratios must be computed from the same samples (and corresponding survival data). The function uses a Student t test for dependent samples.

`p.value`	p-value from the Student t test for the comparison beta1 > beta2 (equivalently bhr1 > bhr2)
`bhr1`	value of the first balanced hazard ratio
`bhr2`	value of the second balanced hazard ratio

Samuel Branders, Benjamin Haibe-Kains

Student 1908) "The Probable Error of a Mean", Biometrika, 6, 1, pages 1–25.

Haibe-Kains, B. and Desmedt, C. and Sotiriou, C. and Bontempi, G. (2008) "A comparative study of survival models for breast cancer prognostication based on microarray data: does a single gene beat them all?", Bioinformatics, 24, 19, pages 2200–2208.

Branders, S. and Dupont, P. (2015) "A balanced hazard ratio for risk group evaluation from survival data", Statistics in Medicine, 34(17), pages 2528–2543.

balanced.hazard.ratio, coxph, t.test

set.seed(12345)
age <- as.numeric(rnorm(100, 50, 10) >= 50)
size <- as.numeric(rexp(100,1) > 1)
stime <- rexp(100)
cens <- runif(100,.5,2)
sevent <- as.numeric(stime <= cens)
stime <- pmin(stime, cens)
bhr1 <- balanced.hazard.ratio(x=age, surv.time=stime, surv.event=sevent)
bhr2 <- balanced.hazard.ratio(x=size, surv.time=stime, surv.event=sevent)
bhr.comp(bhr1=bhr1, bhr2=bhr2)