hr.comp: Function to statistically compare two hazard ratios

In survcomp: Performance Assessment and Comparison for Survival Analysis

Description

This function compares two 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 hazard ratios must be computed from the same survival data.

Usage

hr.comp(hr1, hr2)

Arguments

hr1	first hazard ratio.
hr2	second hazard ratio.

Details

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

Value

p.value	p-value from the Student t test for the comparison beta1 > beta2 (equivalently hr1 > hr2)
hr1	value of the first hazard ratio
hr2	value of the second hazard ratio

Author(s)

Benjamin Haibe-Kains

References

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.

See Also

coxph, t.test

Examples

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)
hr1 <- hazard.ratio(x=age, surv.time=stime, surv.event=sevent)
hr2 <- hazard.ratio(x=size, surv.time=stime, surv.event=sevent)
hr.comp(hr1=hr1, hr2=hr2)

Example output

Loading required package: survival
Loading required package: prodlim
$p.value
[1] 0.1378236

$hr1
[1] 1.252962

$hr2
[1] 0.8363489

survcomp documentation built on Nov. 8, 2020, 4:54 p.m.