Research Article

Pairwise Multiple Comparison Adjustment Procedure for Survival Functions with Right-Censored Data

Table 3

Power of the proposed and conventional adjustment procedures for and ,and exponential survival distribution with different .

ParametersTestsProposed and conventional adjustment techniques
UnadjustedBonferroniSchefféSidakSMMTukeyProposed

(2.25, 1.50, 1.50, 1.50)Fleming0.7650.5940.5230.5970.5970.6180.618
Log-rank0.8580.7850.7260.7840.7840.8020.802
ModPeto0.7630.5930.5210.5930.5930.6180.618
Peto0.7640.5930.5220.5970.5970.6180.618
Tarone0.7890.6540.5950.6570.6570.6760.676
Wilcoxon0.7250.5060.4280.5070.5070.5350.535

(2.25, 2.25, 1.50, 1.50)Fleming0.7570.5140.4370.5160.5160.5410.541
Log-rank0.8230.6270.5550.6290.6290.6650.665
ModPeto0.7560.5120.4360.5160.5160.5390.539
Peto0.7570.5130.4360.5160.5160.5410.541
Tarone0.7890.5580.4900.5600.5600.5880.588
Wilcoxon0.7130.4420.3580.4470.4470.4680.468

(2.25, 1.75, 1.75, 1.25)Fleming0.2430.0320.0170.0330.0330.0450.045
Log-rank0.3680.0630.0340.0640.0640.0800.080
ModPeto0.2430.0320.0170.0330.0330.0440.044
Peto0.2430.0320.0170.0330.0330.0440.044
Tarone0.2900.0460.0240.0470.0470.0550.055
Wilcoxon0.1860.0260.0090.0260.0260.0310.031

(2.50, 2.00, 1.50, 1.00)Fleming0.1680.0100.0020.0100.0100.0140.014
Log-rank0.2690.0230.0060.0240.0240.0350.035
ModPeto0.1670.0090.0020.0100.0100.0130.013
Peto0.1670.0100.0020.0100.0100.0140.014
Tarone0.2040.0120.0060.0130.0130.0180.018
Wilcoxon0.1210.0050.0000.0050.0050.0050.005