Skip to main content
. Author manuscript; available in PMC: 2011 Jun 22.
Published in final edited form as: Comput Stat Data Anal. 2009 Feb 15;53(4):1110–1121. doi: 10.1016/j.csda.2008.10.019

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
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

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

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

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

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