The Log-rank test
Performs the log-rank test on survival data, possibly stratified.
logrank(Y, group, data = parent.frame())
Y |
a survival object as returned by the |
group |
defines the groups to be compared. Coerced to a factor. |
data |
a data.frame in which to interpret the variables. |
A list of class logrank with components
test.statistic |
The logrank (score) test statistic. |
df |
The degrees of freedom of the test statistic. |
p.value |
The p value of the test. |
hazards |
A list of two-column matrices, describing event times and corresponding hazard atoms in each stratum (class 'hazdata'). |
call |
The call |
The test is performed by fitting a Cox regression model and reporting
its score test. With tied data, this might be slightly different from
the true logrank test, but the difference is unimportant in practice.
Göran Broström
fit <- logrank(Y = Surv(enter, exit, event), group = civ, data = oldmort[oldmort$region == "town", ]) fit
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