competing.risk {randomSurvivalForest}R Documentation

Plots Summarizing Competings Risks Analysis

Description

Plot the ensemble cumulative incidence function (CIF), ensemble subsurvival function, ensemble conditional survival function, and ensemble unconditional survival function from a RSF competing risk analysis.

Usage

    competing.risk(x, plot = TRUE, ...)

Arguments

x An object of class (rsf, grow) or (rsf, predict).
plot Logical. If TRUE, proximity is plotted.
... Further arguments passed to or from other methods.

Details

From top to bottom, left to right are plots of the: (a) ensemble CIF; (b) ensemble subsurvival function; (c) ensemble conditional survival functions; and (d) ensemble (unconditional) survival function. See Gray (1988) for motivation regarding the CIF and subsurvival functions.

For right-censored data only the survival function is plotted.

Value

Invisibly, the ensemble CIF and ensemble subsurvival function for each event type.

Author(s)

Hemant Ishwaran hemant.ishwaran@gmail.com and Udaya B. Kogalur ubk2101@columbia.edu

References

R. J. Gray (1988). A class of k-sample tests for comparing the cumulative incidence of a competing risk, Ann. Statist., 16: 1141-1154.

H. Ishwaran, and Udaya B. Kogalur (2009). Competing risks: a forest approach. Cleveland Clinic Technical Report.

See Also

find.interaction, predict.rsf, rsf, wihs.

Examples

## Not run: 
  data(follic, package = "randomSurvivalForest")
  follic.out <- rsf(Surv(time, status) ~ ., follic, nsplit = 3, ntree = 100)
  competing.risk(follic.out)
## End(Not run)

[Package randomSurvivalForest version 3.6.1 Index]