LR: Log-Rank test between an observed and an expected survival...

In survexp.fr: Relative Survival, AER and SMR Based on French Death Rates

Log-Rank test between an observed and an expected survival curve

Description

Log-Rank test between an observed and an expected survival curve

Usage

LR(futime, status, age, sex, entry_date, ratetable = survexp.fr::survexp.fr)

Arguments

futime	follow-up time of the subjects in days
status	0 if censored or 1 if dead at futime
age	age in days
sex	"male" or "female"
entry_date	entry date in the study
ratetable	a table of event rates, such as survexp.fr or survexp.us

Details

The Log-Rank is calculated as:

LR = (O-E)^2/E

where O is the observed number of deaths and E is the expected number based on the patients' characteristics (sex, age and entry date in the study). It follows a Khi-2 distribution with one degree of freedom, which allows to compute its p-value.

Value

A list containing the observed number of deaths, the expected number of deaths, the Log-Rank statistic and its p-value

Author(s)

Hugo Varet

References

R. Peto and J. Peto, Asymptotically Efficient Rank Invariant Test Procedures, Journal of the Royal Statistical Society, 1972

Examples

attach(data.example)
LR(futime, status, age, sex, entry_date)

survexp.fr documentation built on April 12, 2025, 2:30 a.m.