Surv.survtype {survtype}R Documentation

Sample subtype identification via survival information

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")

[Package survtype version 1.9.0 Index]