. Author manuscript; available in PMC: 2012 Oct 1.

Published in final edited form as: Lifetime Data Anal. 2011 Jun 26;17(4):566–593. doi: 10.1007/s10985-011-9199-8

Table 1.

Simulation Results for the 1st Scenario of Censoring (1000 Monte-Carlo samples, entries in parentheses for SE and Monte-Carlo SE are relative efficiencies with respect to ${\hat{β}}_{1}$ .)

True β₀	Statistics	n	${\hat{β}}_{PH}$	${\hat{β}}_{1}$	${\hat{β}}_{2}$	${\hat{β}}_{3}$
0	Bias	250	0.004	0.004	0.005	0.005
	Bias	600	0.001	0.000	0.001	0.001
	AveSE	250	0.160 (1.00)	0.160 (1.00)	0.145 (1.21)	0.134 (1.42)
	AveSE	600	0.089 (1.00)	0.089 (1.00)	0.080 (1.24)	0.077 (1.34)
	MCSE	250	0.165 (0.88)	0.155 (1.00)	0.141 (1.21)	0.141 (1.21)
	MCSE	600	0.091 (0.94)	0.088 (1.00)	0.078 (1.27)	0.078 (1.27)
	Type I Error	250	0.055	0.048	0.041	0.060
	Type I Error	600	0.054	0.043	0.047	0.059

0.3	Bias	250	0.007	0.007	0.008	0.008
	Bias	600	0.002	0.003	0.003	0.003
	AveSE	250	0.162 (1.00)	0.161 (1.00)	0.147 (1.21)	0.137 (1.38)
	AveSE	600	0.103 (1.00)	0.014 (1.00)	0.094 (1.21)	0.088 (1.37)
	MCSE	250	0.165 (0.90)	0.157 (1.00)	0.143 (1.20)	0.143 (1.20)
	MCSE	600	0.107 (0.91)	0.102 (1.00)	0.091 (1.26)	0.091 (1.26)
	Power	250	0.481	0.474	0.555	0.606
	Power	600	0.826	0.831	0.899	0.923