surv_fitness {GSgalgoR} | R Documentation

## Survival fitness function using the Restricted Mean Survival Time (RMST) of each group

### Description

Survival fitness function using the Restricted Mean Survival Time (RMST) of each group as proposed by Dehbi & Royston et al. (2017).

### Usage

    surv_fitness(OS, clustclass, period)

### Arguments

`OS` | a `survival` object with survival data of the patients evaluated
`clustclass` | a numeric vector with the group label for each patient
`period` | a number representing the period of time to evaluate in the RMST calculation

### Value

The function computes the Harmonic mean of the differences between Restricted Mean Survival Time (RMST) of consecutive survival curves multiplied by the number of comparisons.

### Author(s)

Martin E Guerrero-Gimenez, mguerrero@mendoza-conicet.gob.ar

### References

Dehbi Hakim-Moulay, Royston Patrick, Hackshaw Allan. Life expectancy difference and life expectancy ratio: two measures of treatment effects in randomized trials with non-proportional hazards BMJ 2017; 357 :j2250 https://www.bmj.com/content/357/bmj.j2250

### Examples

    # load example dataset
    library(breastCancerTRANSBIG)
    library(Biobase)
    data(transbig)
    Train <- transbig
    rm(transbig)

    clinical <- pData(Train)
    OS <- survival::Surv(time = clinical$t.rfs, event = clinical$e.rfs)

    surv_fitness(OS, clustclass = clinical$grade, period = 3650)

[Package GSgalgoR version 1.4.0 Index]