hidimcox: High dimensional univariate cox proportional hazard analysis.

In autohd: High Dimensional Bayesian Survival Mediation Analysis

Description

Given the dimension of variables and survival information the function performs univariate Cox PH.

Usage

hidimcox(m, n, survdur, event, sig, data)

Arguments

m	Starting column number form where study variables of high dimensional data will get selected.
n	Ending column number till where study variables of high dimensional data will get selected.
survdur	Column name of survival duration event, a string value. i.e. "os"
event	Column name of survival event, a string value. i.e "death"
sig	Level of significance pre-determined by the user
data	High dimensional data containing the survival, progression and genomic observations.

Value

Data set containing the list of selected variables with HR, LCL,UCL and Pvalues through survival analysis.

Examples

##
data(hnscc2)
hidimcox(m=8,n=50,survdur="os",event="death",sig=0.05,data=hnscc2)
##

autohd documentation built on May 10, 2021, 9:10 a.m.