Table 4.

Empirical rejection rates (%) for comparing biomarkers' predictive accuracy with null hypothesis $H_0:C({\beta }_0^A;\tau )=C({\beta }_0^B;\tau )$.

sample size	γA = –.4	γA = –.5	γA = –.6	γA = –.7	γA = –.8	γA = –.9
			20% censoring
100	7.4	10.3	25.3	54.5	86.9	99.7
200	5.4	12.8	43.3	83.0	99.4	100
300	5.2	18.5	63.0	94.8	100	100
			40% censoring
100	8.3	11.1	21.0	43.4	74.4	96.2
200	6.3	12.9	36.0	71.0	94.6	100
300	5.6	15.1	50.8	87.1	99.7	100