hr.comp {survcomp} | R Documentation

## Function to statistically compare two hazard ratios

### 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)

[Package survcomp version 1.40.0 Index]