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. Author manuscript; available in PMC: 2016 May 10.
Published in final edited form as: Stat Med. 2015 Jan 28;34(10):1721–1732. doi: 10.1002/sim.6443

Table 3.

Sensitivity analysis when baseline hazard follows Weibull distribution and when the times to efficacy and dropout follow an accelerated failure time model with a log-logistic error. The bolded numbers are target doses.

Weibull distribution Duration
(months)
Efficacy Dropout Scenario 1

increasing decreasing 77.7 (25.9) 18.2 (21.4) 0.0 (2.4) 0.0 (0.1) 0.0 (0.0) 22.1
increasing increasing 77.6 (25.8) 19.4 (21.6) 0.1 (2.3) 0.0 (0.2) 0.0 (0.0) 22.1
decreasing increasing 77.4 (26.3) 20.1 (21.2) 0.1 (2.5) 0.0 (0.2) 0.0 (0.0) 22.3
decreasing decreasing 78.1 (26.0) 19.2 (21.6) 0.0 (2.4) 0.0 (0.1) 0.0 (0.0) 22.0
Scenario 2
increasing decreasing 3.5 (4.9) 81.0 (28.0) 14.6 (16.2) 0.1 (1.6) 0.0 (0.0) 23.2
increasing increasing 2.6 (4.8) 82.9 (28.2) 13.1 (15.8) 0.0 (1.6) 0.0 (0.0) 23.2
decreasing increasing 3.2 (4.9) 83.6 (28.0) 12.9 (16.3) 0.0 (1.6) 0.0 (0.1) 23.2
decreasing decreasing 3.5 (5.0) 82.6 (28.5) 12.9 (15.7) 0.1 (1.5) 0.1 (0.0) 22.7
Accelerated failure time model

Efficacy Dropout Scenario 1

increasing increasing 75.9 (25.7) 17.3 (20.8) 0.0 (2.2) 0.0 (0.1) 0.1 (0.0) 22.3
decreasing increasing 76.4 (25.4) 21.4 (22.1) 0.0 (2.4) 0.0 (0.2) 0.0 (0.0) 22.6
hump shaped increasing 78.1 (26.5) 17.8 (20.4) 0.0 (2.3) 0.0 (0.1) 0.0 (0.0) 22.4
Scenario 2
increasing increasing 4.3 (5.3) 80.9 (28.4) 13.0 (15.1) 0.2 (1.6) 0.0 (0.0) 24.1
decreasing increasing 2.4 (4.6) 85.0 (29.2) 11.8 (15.3) 0.1 (1.6) 0.0 (0.0) 23.4
hump shaped increasing 2.9 (4.9) 83.6 (27.8) 12.7 (16.3) 0.0 (1.6) 0.0 (0.0) 23.5