unihdma: High dimensional survival analysis using Bayesian univariate cox prportional
hazard with mediation analysis
Description
Given the dimension of variables and survival information the function filters significant variables
allowing the user to perform survival anlaysis with high number of iterations. Further, it performs mediation analysis among the signifiant
variables and provides handful variables with their alpha.a values which are mediator model exposure coefficients
and beta.a coefficients.
Usage
unihdma(m, n, survdur, event, LC = NULL, t, i, b, d, data)
Arguments
m
Starting column number from where high dimensional variates to be selected.
n
Ending column number till where high dimensional variates to be selected.
survdur
"Column/Variable name" consisting duration of survival.
event
"Column/Variable name" consisting survival event.
LC
"Initial time of getting in to the study.
t
A numeric between 0 to 100.
i
Number of MCMC iteration to perform in obtaining posterior extimates of HR by CoxPH.
b
Number of MCMC iterations to burn.
d
Number of draws for the iterations.
data
High dimensional data containing survival observations and high dimensional covariates.
Value
Data frame containing the beta and alpha values of active variables among the significant variables.