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. Author manuscript; available in PMC: 2021 Apr 20.
Published in final edited form as: Stat Med. 2020 Sep 24;39(30):4605–4620. doi: 10.1002/sim.8743

TABLE 2.

The c-index values, mean and SD (range from 0 to 100) from 200 replications for the DNN, RSF, and LASSO models with weak signals under five scenarios: linear effects (scenario 1) and linear effects together with nonlinear effects (scenario 2) or with interactions (scenario 3) or with nonlinear and interaction effects (scenario 4) or with interaction and indicator effects (scenario 5)

p DNN RSF LASSO
Scenario 1 20 66.8 (1.3) 55.5 (5.8) 67.0 (1.4)
50 73.7 (1.3) 58.2 (7.6) 74.0 (1.2)
100 78.2 (1.2) 60.8 (7.6) 78.6 (1.1)
500 82.1 (1.4) 62.9 (4.8) 75.9 (1.5)
Scenario 2 20 64.6 (1.6) 53.7 (4.9) 63.2 (1.4)
50 71.3 (1.3) 57.1 (7.3) 71.8 (1.2)
100 76.6 (1.2) 60.1 (7.3) 76.9 (1.1)
500 81.5 (1.3) 62.5 (5.0) 75.9 (1.5)
Scenario 3 20 67.4 (1.3) 55.2 (5.9) 67.5 (1.3)
50 73.2 (1.2) 56.6 (7.7) 73.6 (1.2)
100 77.7 (1.2) 60.0 (7.8) 78.2 (1.1)
500 81.8 (1.4) 62.7 (5.0) 75.6 (1.5)
Scenario 4 20 65.5 (1.5) 53.5 (5.1) 63.9 (1.4)
50 71.0 (1.3) 56.3 (7.5) 71.4 (1.2)
100 76.0 (1.2) 59.3 (8.0) 76.5 (1.2)
500 81.3 (1.4) 62.4 (5.1) 75.6 (1.5)
Scenario 5 20 64.8 (1.3) 54.3 (4.8) 64.8 (1.4)
50 72.0 (1.2) 56.5 (7.6) 72.4 (1.2)
100 77.1 (1.2) 59.6 (7.9) 77.6 (1.2)
500 81.8 (1.4) 62.7 (5.1) 75.1 (1.5)

Note: The number of predictors is set at p = 20, 50, 100, 500.

Abbreviations: DNN, deep neural network; RSF, random survival forest.