hr.test: Hazard ratio test

View source: R/hr.R

hr.testR Documentation

Hazard ratio test

Description

Hazard ratio test

Usage

hr.test(beta1, se1, beta2, se2, r = 0, n = 10000)

Arguments

beta1

beta estimate for the first hazard ratio

se1

standard error of beta estimate for the first hazard ratio

beta2

standard error of beta estimate for the second hazard ratio

se2

standard error of beta estimate for the second hazard ratio

r

correlation between the first and second risk scores (i.e., predictors)

n

number of samples from which the hazard ratios were estimated

Value

A list with class "htest" containing the following components:

statistic the value of the t-statistic.
parameter the degrees of freedom for the t-statistic.
p.value the p-value for the test.
conf.int a confidence interval for the mean appropriate to the specified alternative hypothesis.
estimate the estimated mean or difference in means depending on whether it was a one-sample test or a two-sample test.
null.value the specified hypothesized value of the mean or mean difference depending on whether it was a one-sample test or a two-sample test.
stderr the standard error of the mean (difference), used as denominator in the t-statistic formula.
alternative a character string describing the alternative hypothesis.
method a character string indicating what type of t-test was performed.
data.name a character string giving the name(s) of the data.

Note

Currently only performs a directional test

See Also

hr.comp2

Examples

## Not run: 
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)
coxm1 <- survival::coxph(survival::Surv(stime, sevent) ~ age)
coxm2 <- survival::coxph(survival::Surv(stime, sevent) ~ size)
hr.test(
  coxm1$coefficients,
  drop(sqrt(coxm1$var)),
  coxm2$coefficients,
  drop(sqrt(coxm2$var)),
  cor(age, size),
  100
)

## End(Not run)

the-mad-statter/washu documentation built on May 11, 2023, 7:24 p.m.