. 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 3.

Simulation Results for the 3rd 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	−0.245	0.023	0.019	0.019
	Bias	600	−0.254	0.051	0.052	0.052
	AveSE	250	0.193 (1.37)	0.225 (1.00)	0.210 (1.15)	0.183 (1.51)
	AveSE	600	0.123 (1.86)	0.168 (1.00)	0.160 (1.11)	0.133 (1.60)
	MCSE	250	0.191 (1.43)	0.229 (1.00)	0.215 (1.13)	0.215 (1.13)
	MCSE	600	0.123 (1.89)	0.169 (1.00)	0.164 (1.06)	0.164 (1.06)
	Type I Error	250	0.247	0.045	0.041	0.071
	Type I Error	600	0.527	0.040	0.037	0.088

0.3	Bias	250	−0.230	0.023	0.019	0.019
	Bias	600	−0.240	0.046	0.048	0.048
	AveSE	250	0.185 (1.38)	0.218 (1.00)	0.203 (1.15)	0.177 (1.51)
	AveSE	600	0.118 (1.87)	0.162 (1.00)	0.154 (1.11)	0.128 (1.60)
	MCSE	250	0.182 (1.42)	0.216 (1.00)	0.202 (1.15)	0.202 (1.15)
	MCSE	600	0.117 (1.83)	0.158 (1.00)	0.154 (1.06)	0.154 (1.06)
	Power	250	0.059	0.297	0.319	0.450
	Power	600	0.067	0.617	0.666	0.781