Table 1.

Empirical Power Based on 1000 Simulated Cohorts for Incident and Prevalent Designs with the Same Sample Size and the Same Follow-up Duration. Cens %, censoring percentage; LT, conditional test for left-truncated data; ²³ LR, log-rank test; PM, permutation test. ¹⁸

	Incident Design				Prevalent Design
θ	Cens%a	LRa	Cens%b	LRb	Cens%	PM	LR	LT
Exp: λ0 = 0.15, τ1 = 4, type I censoring at τ = 8
0.4	34	30.7	23	33.7	23	64.2	64.6	29.9
0.5	32	44.4	22	52.5	22	82.2	82.9	44.9
0.6	31	59.2	21	67.6	21	91.7	92.3	58.7
0.7	29	75.3	20	77.9	19	98.3	98.5	71.4
Exp: λ0 = 0.15, τ1 = 4, Uniform censoring (0,8)
0.4	70	17.4	52	25.7	52	55.3	50.3	18.9
0.5	68	22.7	51	36.3	51	74.5	71.7	30.7
0.6	67	31.6	49	48.7	49	85.5	82.6	40.3
0.7	66	41.6	48	59.6	48	95.4	93.9	52.7
Weibull: shape=1.5, scale=2, τ1 = 1, type I censoring at τ = 3
0.4	32	30.7	23	37.1	13	57.9	59.5	37.0
0.5	34	43.8	24	50.4	14	75.2	77.0	51.5
0.6	36	57.7	26	66.0	15	88.8	90.2	63.5
0.7	38	67.6	28	76.7	17	96.8	97.1	77.0
Weibull: shape=1.5, scale=2, τ1 = 1, Uniform censoring (0, 3)
0.4	72	13.2	60	21.5	46	45.0	44.8	21.7
0.5	73	19.8	61	29.1	47	65.0	62.0	30.6
0.6	74	24.0	62	38.3	48	80.5	78.9	41.5
0.7	75	33.6	64	43.0	49	89.4	88.3	50.9

^aparticipants are recruited with staggering entry from (0, τ₁) in incident cohort

^bparticipants are recruited at the beginning of the study at time 0, similar to prevalent cross-sectional sampling.