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. Author manuscript; available in PMC: 2017 Aug 30.
Published in final edited form as: J Biopharm Stat. 2016 Feb 16;27(1):124–134. doi: 10.1080/10543406.2016.1148711

Table 2.

Sample sizes for the optimal and standard log-rank tests for various cure rates in two groups with a nominal type I error of 5% and power of 90%. Here, sample sizes were calculated under the exponential model, with a hazard parameter λ = 1 and a uniform accrual over the interval [0, τ], where τ is determined by the percentage of censoring.

Cure rate (π1, π2)

(.05, .15) (.05, .2) (.1, .2) (.1, .3) (.2, .4) (.3, .5) (.4, .6)

Test Cens Sample size
L None   598   301 738 217 257 279 281
  10%   766   379 916 263 304 323 321
  20% 1067   513 1218 338 375 388 379
  30% 1566   730 1697 453 481 483 460
  40% 2323 1058 2415 623 632 616 573
  50% 3479 1577 3509 881 860 813 740

LK None   394   215 554 177 230 261 270
  10%   517   275 698 217 272 303 310
  20%   766   391 964 286 341 367 367
  30% 1233   597 1423 398 445 461 448
  40% 1993   926 2144 569 597 594 562
  50% 3180 1437 3262 831 828 794 729

Censoring time was uniformly distributed over [0, τ], with the value of τ being chosen so that the probability of the failure time being censored for a subject who was not cured was the specified censoring percentage. Abbreviations: Cens: censoring; L: standard log-rank test; LK: optimal log-rank test.