Table 2.
Results for assessing the splitting statistic: Relative frequencies (in percentages) of the ‘best’ cutoff points identified by the maximum score test statistic in 500 runs. The class intervals, identified by the interval midpoints, are [0, 0.15], (0.15, 0.25], (0.25, 0.35], (0.35, 0.45], (0.45, 0.55], (0.55, 0.65], (0.65, 0.75], (0.75, 0.85], and (0.85, 1], respectively. Also, n = 100 and K = 4.
Relative Frequencies of the ‘Best’ Cutoff Points
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Model | Cutoff c | Censoring Rate | 0.1 | 0.2 | 0.3 | 0.4 | 0.5 | 0.6 | 0.7 | 0.8 | 0.9 |
A | 0.5 | 0% | 0.0 | 0.0 | 0.2 | 4.0 | 93.6 | 2.2 | 0.0 | 0.0 | 0.0 |
50% | 0.0 | 0.6 | 2.0 | 13.6 | 75.6 | 6.6 | 0.6 | 0.8 | 0.2 | ||
0.3 | 0% | 0.2 | 3.2 | 95.0 | 1.2 | 0.4 | 0.0 | 0.0 | 0.0 | 0.0 | |
50% | 2.8 | 9.0 | 80.6 | 5.0 | 1.6 | 0.4 | 0.2 | 0.0 | 0.4 | ||
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B | 0.5 | 0% | 0.0 | 0.0 | 0.2 | 2.8 | 94.4 | 2.6 | 0.0 | 0.0 | 0.0 |
50% | 0.2 | 0.4 | 1.6 | 9.6 | 76.4 | 6.0 | 0.8 | 0.4 | 4.6 | ||
0.3 | 0% | 0.6 | 2.8 | 95.0 | 1.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
50% | 2.6 | 9.4 | 72.8 | 6.2 | 0.4 | 1.0 | 0.2 | 0.0 | 7.4 | ||
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C | 0.5 | 0% | 0.0 | 0.0 | 0.0 | 0.0 | 99.8 | 0.0 | 0.0 | 0.0 | 0.2 |
50% | 0.0 | 0.0 | 0.0 | 0.0 | 98.2 | 0.4 | 0.2 | 0.0 | 1.2 | ||
0.3 | 0% | 0.0 | 0.0 | 99.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8 | |
50% | 0.6 | 3.6 | 91.0 | 0.6 | 0.2 | 0.8 | 1.6 | 1.0 | 0.6 | ||
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D | 0.5 | 0% | 0.0 | 0.0 | 0.0 | 0.0 | 95.8 | 0.2 | 0.0 | 0.0 | 4.0 |
50% | 0.0 | 0.0 | 0.4 | 3.6 | 95.6 | 0.4 | 0.0 | 0.0 | 0.0 | ||
0.3 | 0% | 0.0 | 0.0 | 98.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 1.8 | |
50% | 0.0 | 3.4 | 95.8 | 0.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | ||
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E | 0.5 | 0% | 0.0 | 0.2 | 0.4 | 2.6 | 94.8 | 1.8 | 0.2 | 0.0 | 0.0 |
50% | 0.2 | 1.0 | 3.6 | 14.0 | 70.2 | 9.0 | 1.2 | 0.6 | 0.2 | ||
0.3 | 0% | 0.0 | 2.2 | 95.2 | 2.4 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | |
50% | 3.6 | 14.4 | 71.8 | 7.0 | 2.4 | 0.4 | 0.2 | 0.0 | 0.2 |