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11 Using this approach, 1000 replicated bootstrap samples were selected from the original cohort.

Only genes present in more than the fourth quartile (f > 750) of all bootstrap samples were selected as ECs-specific hub genes.

One-thousand bootstrap samples were selected from the original cohort with replacement, and the Cox regression parameters of the final model were applied to each sample.

Then bootstrap samples were selected for the non-remission group according to the same proportion from the remission group (for example, if 25% of the patients reaching remission reached it during the first 6-month window, we would choose 25% of the non-remission group in this window also).

In the bootstrap simulation 5000 random samples of cost-effect pairs, of equal size of the original sample, were selected with replacement.

Variables selected in ≥1000 of the 1500 bootstrap samples were retained for the final models and highlighted in bold (indicators).

One hundred bootstrap samples were generated using the SEQBOOT program [51].

First 100 bootstrap samples were generated.

Due to small sample size, 95%% bootstrap confidence intervals based on 10,000 bootstrap samples were obtained.

First, 500 bootstrap samples were generated from the original sample.

One thousand bootstrap samples were taken from the original sample with replacement, and a value of T calculated in each bootstrap sample, denoted for the ith bootstrap sample.