Table 2.

Power to detect difference in $\stackrel{\sim }{\mathit{STG}}$

	Rs1,jw	$\stackrel{\sim }{\mathit{STG}}=0.10$	$\stackrel{\sim }{\mathit{STG}}=0.25$	${\stackrel{\sim }{\mathit{STG}}}^{\#}=0.47$	${\stackrel{\sim }{\mathit{STG}}}^{\#\ast }=0.23$	${\stackrel{\sim }{\mathit{STG}}}^{\#\ast }=0.52$
$\stackrel{\sim }{\mathit{STG}}=0.10$	0.8	4.8	15.5	98.7	14.6	98.2
	0.5	5.7	13.7	93.4	9.7	88.3
$\stackrel{\sim }{\mathit{STG}}=0.25$	0.8		5.4	74.2	5.3	69.5
	0.5		5.5	64.5	5.6	49.1
$\stackrel{\sim }{\mathit{STG}}=0.47$	0.8			4.9	86.1	14.1
	0.5			5.2	80.7	7.5
${\stackrel{\sim }{\mathit{STG}}}^{\ast }=0.23$	(0.8, 0.8)				5.1	79.1
	(0.5, 0.5)				5.8	78.2
${\stackrel{\sim }{\mathit{STG}}}^{\ast }=0.52$	(0.8, 0.8)					5.4
	(0.5, 0.5)					5.6

Wald test for comparing two candidate surrogates by testing ${\stackrel{\sim }{\mathit{STG}}}_1-{\stackrel{\sim }{\mathit{STG}}}_2=0$.

^*Multivariate candidate PS,

^**For multivariate surrogate candidates ρ_s1,jw stands for (R_s1,1w, R_s1,2w).

^#indicates that the candidate surrogate was generated using a censored normal distribution.