SurviMChd (version 0.1.2)

survMCmulti: Survival analysis on multiple variables with MCMC

Description

Performs survival analysis using Cox Proportional Hazards with MCMC with an option to input select multiple variables.

Usage

survMCmulti(
  var1 = NULL,
  var2 = NULL,
  var3 = NULL,
  var4 = NULL,
  var5 = NULL,
  Time,
  Event,
  chains,
  adapt,
  iter,
  data
)

Value

Data set containing Posterior HR estimates, SD, quantiles and meandeviance.

Arguments

var1

Variable name (first one)

var2

Variable name (second one)

var3

Variable name (third one)

var4

Variable name (fourth one)

var5

Variable name (fifth one)

Time

Variable/Column name containing the information on duration of survival

Event

Variable/Column name containing the information of survival event

chains

Number of chains to perform

adapt

Number of chains to perform

iter

Number of iterations to perform

data

High dimensional data having survival duration and event.

Author

Atanu Bhattacharjee and Akash Pawar

Details

The survival columns of the data should be arranged as follows - Death Death status=1 if died otherwise 0. OS Survival duration measured as 'OS'

References

Bhattacharjee, A. (2020). Bayesian Approaches in Oncology Using R and OpenBUGS. CRC Press.

See Also

survintMC

Examples

# \donttest{
##
data(mcsurv)
survMCmulti(var1="x1",var2=NULL,var3="x3",var4="x2",
   var5="x4",Time="OS",Event="Death",chains=2,adapt=100,iter=1000,data=mcsurv)
##
# }