uni.Wald

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

 Feature Selection 

 univariate Cox regression 

 compound covariate 

 Wald test 

Univariate feature selection and compound covariate methods under the Cox model with high-dimensional features (e.g., gene expressions).
Available are survival data for non-small-cell lung cancer patients with gene expressions (Chen et al 2007 New Engl J Med) <DOI:10.1056/NEJMoa060096>,
statistical methods in Emura et al (2012 PLoS ONE) <DOI:10.1371/journal.pone.0047627>,
Emura & Chen (2016 Stat Methods Med Res) <DOI:10.1177/0962280214533378>, and Emura et al (2019)<DOI:10.1016/j.cmpb.2018.10.020>.
Algorithms for generating correlated gene expressions are also available.
Estimation of survival functions via copula-graphic (CG) estimators is also implemented, which is useful for
sensitivity analyses under dependent censoring (Yeh et al 2023 Biomedicines) <DOI:10.3390/biomedicines11030797> and
factorial survival analyses (Emura et al 2024 Stat Methods Med Res) <DOI:10.1177/09622802231215805>.

Takeshi Emura

compound.Cox

Univariate Feature Selection and Compound Covariate for
Predicting Survival, Including Copula-Based Analyses for
Dependent Censoring

Hsuan-Yu Chen

Shigeyuki Matsui

Yi-Hau Chen

uni.Wald function

<dl> <dt>t.vec</dt>
<dd>Vector of survival times (time to either death or censoring)</dd> <dt>d.vec</dt>
<dd>Vector of censoring indicators, 1=death, 0=censoring</dd> <dt>X.mat</dt>
<dd>n by p matrix of covariates, where n is the sample size and p is the number of covariates</dd></dl>

Arguments

Author

Univariate Cox Wald test — uni.Wald

<dl>

 <dt>t.vec</dt>
<dd>Vector of survival times (time to either death or censoring)</dd>

 <dt>d.vec</dt>
<dd>Vector of censoring indicators, 1=death, 0=censoring</dd>

 <dt>X.mat</dt>
<dd>n by p matrix of covariates, where n is the sample size and p is the number of covariates</dd>

</dl>

Univariate Cox Wald test

uni.Wald: Univariate Cox Wald test

Description

Usage

Value

Arguments

Author

Details

References

Examples