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. Author manuscript; available in PMC: 2019 Nov 27.
Published in final edited form as: Stat Methods Med Res. 2014 May 5;25(6):2733–2749. doi: 10.1177/0962280214531684

Table 1:

Summary of simulation parameters; all parameter sets use an error standard deviation of one with 10,000 simulations.

Mean difference between groups (τ) Percentage censored N per Arma R2: Median (IQR)b
0.00 10 300 0.0008 (0.0002, 0.0022)
0.00 30 300 0.00 (0.00, 0.00)
0.00 50 300 0.00 (0.00, 0.00)
0.00 70 300 0.00 (0.00, 0.00)
0.00 90 300 0.00 (0.00, 0.00)

−0.25 10 250 0.02 (0.01, 0.02)
−0.25 30 244 0.02 (0.01, 0.02)
−0.25 50 274 0.02 (0.01, 0.02)
−0.25 70 357 0.02 (0.01, 0.02)
−0.25 90 717 0.02 (0.01, 0.02)

−0.50 10 64 0.06 (0.04, 0.09)
−0.50 30 62 0.06 (0.04, 0.09)
−0.50 50 70 0.06 (0.04, 0.09)
−0.50 70 93 0.06 (0.04, 0.08)
−0.50 90 195 0.06 (0.04, 0.08)

−0.75 10 30 0.13 (0.08, 0.18)
−0.75 30 29 0.13 (0.08, 0.19)
−0.75 50 33 0.13 (0.08, 0.18)
−0.75 70 44 0.13 (0.09, 0.17)
−0.75 90 100 0.13 (0.10, 0.15)

−1.00 10 17 0.21 (0.14, 0.30)
−1.00 30 17 0.21 (0.14, 0.30)
−1.00 50 20 0.21 (0.14, 0.29)
−1.00 70 27 0.21 (0.15, 0.27)
−1.00 90 68 0.20 (0.17, 0.24)
a

Sample sizes for each value of τ > 0 and rate of censoring were determined using Lachenbruch’s62 formula. When τ = 0, the expected power is the type I error rate of 0.05 and the sample size was set at 300.

b

R2 calculated by using simulated data prior to censoring with standard R2 formula of simple linear regression.