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