Variable Selection Methods for Right-Censored Time-to-Event Data with High-Dimensional Covariates

Algorithm 2

NTS (C) algorithm.

Step  1. for = 1 to do

Step  2.  Compose the dataset for variable set in including variables where = 1 to

Step  3.  Calculate over the dataset

Step  4.  Compare and with log-rank test

Step  5.  Save the test score for variables in subset as

Step  6. end for

Step  7. Assume = as the reverse variable efficiency vector where initially each array

   as the cumulative contribution score corresponding to a variable is zero

Step  8. for = 1 to do

Step  9.  for = 1 to do

Step  10.   Add the value of to the cumulative contribution score of the variable based

      on its identification number =

    end for

Step  11. end for

Step  12. Return = as the variable inefficiency vector