uni.score {compound.Cox}

Univariate Cox score test

Description

Univariate significance analyses via the score tests (Witten & Tibshirani 2010; Emura et al. 2019) based on association between individual features and survival.

Usage

uni.score(t.vec, d.vec, X.mat, d0=0)

Arguments

t.vec

Vector of survival times (time to either death or censoring)

d.vec

Vector of censoring indicators, 1=death, 0=censoring

X.mat

n by p matrix of covariates, where n is the sample size and p is the number of covariates

d0

A positive constant to stabilize the variance (Witten & Tibshirani 2010)

Details

score test

Value

beta

Estimated regression coefficients (one-step estimator)

Z

Z-value for testing H_0: beta=0 (score test)

P

P-value for testing H_0: beta=0 (score test)

Author(s)

Takeshi Emura and Shigeyuki Matsui

References

Emura T, Matsui S, Chen HY (2018-). compound.Cox: Univariate Feature Selection and Compound Covariate for Predicting Survival, Computer Methods and Programs in Biomedicine, to appear.

Witten DM, Tibshirani R (2010) Survival analysis with high-dimensional covariates. Stat Method Med Res 19:29-51

Examples

data(Lung)
t.vec=Lung$t.vec[Lung$train==TRUE]
d.vec=Lung$d.vec[Lung$train==TRUE]
X.mat=Lung[Lung$train==TRUE,-c(1,2,3)]
uni.score(t.vec, d.vec, X.mat)