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. Author manuscript; available in PMC: 2022 Sep 1.
Published in final edited form as: Pharm Stat. 2019 Nov 21;19(3):214–229. doi: 10.1002/pst.1983

Table 3:

Comparison between the proposed optimal two-stage and Belin’s design under the exponential distribution with nominal type I error 5% and power of 80%, a constant accrual rate r = 10, a restricted follow-up x = 1 and x0 = 1. Overall empirical type I error (α^) and power (1β^) for the two-stage designs were estimated from 10,000 simulated trials.

(S0, S1) t 1 c 1 c ES ETSL n 1 n PS α^ 1β^

Belin’s two-stage design under exponential model

(.1, .3) 1.11 0.068 1.615 14.8 2.9 12 19 0.53 .033 .727
(.1, .25) 1.67 0.097 1.673 22.9 4.0 17 30 0.54 .035 .722
(.2, .4) 1.72 0.082 1.621 23.2 4.0 18 30 0.53 .036 .748
(.2, .35) 2.84 0.150 1.623 37.9 6.0 29 50 0.56 .037 .750
(.3, .5) 2.16 0.107 1.621 29.1 4.8 22 38 0.54 .037 .764
(.3, .45) 3.68 0.358 1.627 49.0 7.4 37 64 0.55 .039 .765
(.4, .6) 2.50 0.167 1.622 32.4 5.2 25 42 0.57 .039 .780
(.4, .55) 4.11 0.137 1.626 55.3 8.3 42 73 0.55 .040 .777
(.5, .7) 2.44 0.114 1.621 32.9 5.3 25 43 0.55 .038 .797
(.5, .65) 4.27 0.149 1.626 56.9 8.5 43 75 0.56 .039 .789
(.6, .8) 2.28 0.106 1.620 30.7 5.0 23 40 0.54 .037 .814
(.6, .75) 3.93 0.122 1.624 53.6 8.1 40 71 0.55 .039 .802
(.7, .85) 3.42 0.191 1.618 45.6 7.1 35 61 0.58 .040 .827

Proposed two-stage design under exponential model

(.1, .3) 1.48 −0.106 1.638 18.7 3.2 15 22 0.46 .032 .786
(.1, .25) 2.21 0.054 1.634 28.3 4.5 23 35 0.52 .038 .810
(.2, .4) 2.12 0.052 1.633 26.8 4.3 22 33 0.52 .036 .784
(.2, .35) 3.33 0.110 1.632 43.2 6.5 34 55 0.54 .038 .801
(.3, .5) 2.48 0.082 1.631 31.9 5.0 26 40 0.53 .038 .800
(.3, .45) 4.12 0.130 1.632 53.2 7.8 42 68 0.55 .039 .798
(.4, .6) 2.56 0.129 1.623 33.9 5.4 26 44 0.55 .039 .797
(.4, .55) 4.46 0.185 1.627 58.0 8.6 45 76 0.57 .040 .797
(.5, .7) 2.54 0.184 1.620 32.9 5.3 26 43 0.57 .038 .798
(.5, .65) 4.45 0.202 1.625 57.7 8.6 45 76 0.58 .039 .797
(.6, .8) 2.14 0.121 1.616 28.9 4.8 22 38 0.55 .038 .795
(.6, .75) 3.87 0.135 1.617 52.2 7.9 39 69 0.55 .039 .793
(.7, .85) 2.98 0.126 1.682 41.6 6.6 30 56 0.55 .040 .791

S0 and S1 are the survival probabilities at x0 under the null hypothesis and alternative, respectively; t1 is the calendar time for the first-stage interim analysis; c1 and c are the boundaries for the first-stage and final analysis; n1 and n are the sample sizes for the first-stage and final analysis; PS is the stopping probability of first stage under the null hypothesis; ES is the expected sample size under the null hypothesis; ETSL is expected total study duration.