bhr.comp {survcomp} | R Documentation

## Function to statistically compare two balanced hazard ratios

### Description

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.

### Usage

    bhr.comp(bhr1, bhr2)

### Arguments

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

### Details

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.

### Value

`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

### Author(s)

Samuel Branders, 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.

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.

### See Also

`balanced.hazard.ratio`, `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)
    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)

[Package survcomp version 1.40.0 Index]