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. Author manuscript; available in PMC: 2016 Jan 1.
Published in final edited form as: J Biopharm Stat. 2015;25(1):16–28. doi: 10.1080/10543406.2014.919940

Table 2.

Comparison of the required sample size (power) per group (n1 = n2) for the three tests with 90% nominal power and 5% type I error under the Weibull model (two-sided test).

R = m2/m1

κ Test 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0
0.5 Schoenfeld 12335 (90) 3406 (90) 1662 (91) 1020 (90) 709 (90) 533 (90) 422 (90) 347 (90) 293 (90) 253 (90)
Sprott 12334 (90) 3405 (90) 1661 (90) 1019 (90) 708 (90) 532 (90) 421 (90) 346 (91) 292 (90) 252 (90)
Log-rank 12333 (90) 3405 (90) 1660 (90) 1019 (90) 708 (90) 531 (90) 420 (90) 345 (90) 291 (90) 251 (90)

1 Schoenfeld 2510 (90) 693 (90) 338 (90) 208 (90) 145 (90) 109 (90) 87 (91) 71 (90) 61 (91) 53 (91)
Sprott 2510 (90) 693 (90) 338 (90) 208 (90) 145 (90) 109 (90) 87 (91) 72 (91) 61 (91) 53 (91)
Log-rank 2510 (90) 693 (90) 338 (90) 208 (89) 144 (90) 109 (89) 86 (89) 71 (90) 60 (90) 52 (90)

2 Schoenfeld 582 (90) 160 (90) 78 (90) 48 (90) 33 (90) 25 (90) 20 (91) 16 (90) 14 (91) 12 (91)
Sprott 583 (90) 161 (91) 79 (91) 49 (91) 34 (91) 26 (91) 21 (92) 17 (92) 15 (93) 13 (93)
Log-rank 582 (90) 160 (89) 78 (89) 48 (90) 33 (88) 25 (88) 20 (88) 16 (86) 14 (87) 12 (87)

Empirical powers (in brackets) for the corresponding sample sizes were calculated based on 20,000 simulated runs under the same parameter setting.