Surv.survtype: Sample subtype identification via survival information

In survtype: Subtype Identification with Survival Data

Description

Any patient who lived longer than the median was considered to be a "low-risk" patient, and any patient that lived less than the median was considered to be a "high-risk"" patient. In this manner, we assigned a class label to each observation. For censored data, we can estimate the probability that each censored observation belongs to the "low-risk" and "high-risk" classes, respectively.

Usage

Surv.survtype(surv.data, time, status)

Arguments

surv.data	survival data
time	survival time
status	status indicator

Value

n	the number of subjects in each group
obs	the weighted observed number of events in each group
exp	the weighted expected number of events in each group
chisq	the chi-squared statistic for a test of equality
call	the matched call
cluster	a vector of clusters to which samples are assigned
time	survival time
status	status indicator
surv.data	survival data
fit	fitted survival curves

Author(s)

Dongmin Jung

References

Bair, E., & Tibshirani, R. (2004). Semi-supervised methods to predict patient survival from gene expression data. PLoS biology, 2(4), e108.

See Also

survival::Surv, survival::survfit, survival::survdiff

Examples

data(ovarian)
ovarian.survtype <- Surv.survtype(ovarian, time = "futime", status = "fustat")

survtype documentation built on Nov. 8, 2020, 7:24 p.m.