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. Author manuscript; available in PMC: 2016 Nov 15.
Published in final edited form as: Clin Trials. 2010 Jun 22;7(5):584–596. doi: 10.1177/1740774510373120

Table 6.

Statistical power for testing the treatment effect under the null and alternative hypotheses for erlotinib resistant and naïve patients by marker status in the BATTLE-2 adaptive randomization design using the Bayesian logistic regression. Cut-off values for posterior probability were chosen to control the type I error rates for comparing TX 2, 3, 4 to TX 1 under the null hypothesis to 10%.

Prior Scenario Cut-off TX Margin Naïve.
Margin
Resist.
Margin
Naïve.
MK(−,−)
Naïve.
MK(+,−)
Naïve.
MK(−,+)
Resist.
MK(−,−)
Resist.
MK(+,−)
Resist.
MK(−,+)
Overall All TX
NI Null 0.982 2 0.004 0.040 0.000 0.035 0.046 0.014 0.000 0.000 0.000 0.098 0.184
3 0.004 0.034 0.000 0.034 0.052 0.011 0.001 0.001 0.001 0.093
4 0.004 0.018 0.000 0.033 0.010 0.002 0.000 0.000 0.000 0.044
Alt. 2 0.302 0.463 0.003 0.348 0.293 0.083 0.004 0.004 0.000 0.632 0.865
3 0.316 0.442 0.001 0.358 0.263 0.098 0.003 0.009 0.000 0.592
4 0.375 0.440 0.002 0.348 0.102 0.244 0.003 0.004 0.011 0.622
Beta5 Null 0.984 2 0.003 0.038 0.000 0.033 0.041 0.013 0.000 0.001 0.000 0.091 0.174
3 0.003 0.033 0.010 0.030 0.049 0.009 0.000 0.001 0.001 0.095
4 0.004 0.016 0.000 0.030 0.009 0.001 0.000 0.000 0.001 0.039
Alt. 2 0.291 0.447 0.277 0.336 0.277 0.071 0.271 0.211 0.039 0.787 0.987
3 0.299 0.432 0.579 0.338 0.243 0.087 0.299 0.230 0.050 0.861
4 0.357 0.423 0.040 0.337 0.096 0.225 0.311 0.208 0.207 0.801