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

Algorithm 1

NTS (F) algorithm.

Step  1. for i = 1 to q do

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

Step  3.  Calculate over the dataset

Step  4.  Compare and with log-rank test

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

Step  6. end for

Step  7. Eliminate rows of where the array of the row has a value of more than 0.05,

   and call this new set

Step  8. Count the contribution (presence) of each variable based on its identification

   number in the first k columns and save as

Step  9. Return as the variable efficiency vector