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. Author manuscript; available in PMC: 2017 Aug 30.
Published in final edited form as: Pharm Stat. 2016 Nov 8;16(1):87–94. doi: 10.1002/pst.1790

Table 3.

Comparison sample sizes calculated the exponential cure model using Wang’s formula and the new formula (6) with a nominal type I error of 0.05 and power of 90%: (two-sided test, uniform accrual and equal allocation).

Wang Formula (6) Wang Formula (6)

Design δ−1/γ nW EPW nX EPX Design δ−1/γ nW EPW nX EPX
Scenario 1: η ≠ 0 γ ≠ 0

π0 = 0.4 1.2/0.4 927 0.887 972 0.903 π0 = 0.1 1.2/0.4 1377 0.893 1385 0.906
λ0 = 0.1 1.3/0.5 527 0.881 570 0.906 λ0 = 0.1 1.3/0.5 714 0.894 734 0.899
ta = 1 1.4/0.6 345 0.875 383 0.903 ta = 1 1.4/0.6 448 0.884 469 0.899
tf = 10 1.5/0.7 246 0.857 284 0.903 tf = 10 1.5/0.7 313 0.878 333 0.904
1.6/0.8 186 0.853 221 0.904 1.6/0.8 234 0.886 253 0.903
1.7/0.9 147 0.849 180 0.908 1.7/0.9 184 0.877 202 0.900
1.8/1.0 119 0.834 152 0.912 1.8/1.0 150 0.870 166 0.902

Scenario 2: η ≠ 0 γ = 0

π0 = 0.4 1.4/0.0 1657 0.895 1668 0.902 π0 = 0.1 1.4/0.0 745 0.885 801 0.904
λ0 = 0.1 1.5/0.0 1141 0.903 1156 0.904 λ0 = 0.1 1.5/0.0 513 0.875 562 0.900
ta = 1 1.6/0.0 850 0.892 867 0.904 ta = 1 1.6/0.0 382 0.871 425 0.903
tf = 10 1.7/0.0 667 0.894 686 0.904 tf = 10 1.7/0.0 300 0.869 340 0.904
1.8/0.0 543 0.888 565 0.906 1.8/0.0 245 0.853 282 0.901
1.9/0.0 456 0.890 478 0.909 1.9/0.0 205 0.854 240 0.900
2.0/0.0 391 0.889 414 0.910 2.0/0.0 176 0.855 209 0.907

Scenario 3: η = 0 γ ≠ 0

π0 = 0.4 1.0/1.0 420 0.941 360 0.906 π0 = 0.3 1.0/1.0 255 0.952 209 0.904
λ0 = 0.1 1.0/1.1 347 0.943 297 0.902 λ0 = 0.3 1.0/1.1 211 0.953 171 0.904
ta = 1 1.0/1.2 292 0.942 250 0.905 ta = 1 1.0/1.2 177 0.948 143 0.905
tf = 10 1.0/1.3 249 0.942 214 0.910 tf = 10 1.0/1.3 151 0.959 121 0.908
1.0/1.4 214 0.944 186 0.910 1.0/1.4 130 0.956 105 0.910
1.0/1.5 187 0.945 164 0.912 1.0/1.5 114 0.956 91 0.910
1.0/1.6 164 0.940 146 0.912 1.0/1.6 100 0.954 81 0.908

abbreviation nW and EPW : sample size and empirical power calculated by formula derived by Wang at al.; abbreviation nX and EPX: sample size and empirical power calculated by formula (6).