Table 5.

Power and parameters estimation for the High-Accu. Perfect-Trt scenario with 1000 replications of simulated data

	f	SS	Est. Power	$\widehat{R^A}$	$\widehat{R^B}$	$s.e.(\widehat{R^A})$	$s.e.(\widehat{R^B})$
Two-Arm		2742	0.804	0.8523	0.8121	0.0096	0.0105
Paired	0.05	180	--†	0.8528	0.8132	0.0138	0.0156
	0.1425	656	0.802	0.8523	0.8120	0.0152	0.0169
	0.235	1098	0.808	0.8520	0.8120	0.0127	0.0139
	0.3275	1536	0.781	0.8519	0.8122	0.0114	0.0123
	0.42	1974	0.804	0.8523	0.8125	0.0106	0.0114

^† Note that the required sample size for f = 0.05 is too small to satisfy the requirements for the normal approximation, we do not compute the power for this specific scenario.

True parameter values are R^A = 0.852 and R^B = 0.812. $s.e.(\widehat{R^A})$ and $s.e.(\widehat{R^B})$ are the observed sample variances among 1000 replications.