Maximin Efficiencies under Treatment-Dependent Costs and Outcome Variances for Parallel, AA/BB, and AB/BA Designs

Table 4

Powers from the Monte Carlo simulations for maximin designs in the case of the treatment effect. For each pair of ranges of the intraclass correlations, the asymptotic efficiency of each design versus the most efficient design is given within brackets.

Treatment effect
		N	Crossover design	Parallel design	Extended parallel design
Type I error rate = 0.05
[0.01,0.10]	[0.90,1.00]	30	0.857 (1)	0.648 (0.61)	0.836 (0.96)
[0.01,0.10]	[0.90,1.00]	44	0.959 (1)	0.822 (0.61)	0.950 (0.96)
[0.01,0.30]	[0.01,0.30]	36	0.916 (1)	0.805 (0.50)	0.823 (0.76)
[0.01,0.30]	[0.70,1.00]	52	0.982 (1)	0.819 (0.51)	0.922 (0.70)
[0.70,1.00]	[0.70,1.00]	10	0.813 (1)	0.180 (0.15)	0.182 (0.15)
[0.90,1.00]	[0.90,1.00]	6	0.902 (1)	0.088 (0.05)	0.087 (0.05)
Type I error rate = 0.01
[0.01,0.10]	[0.90,1.00]	45	0.854 (1)	0.618 (0.61)	0.848 (0.96)
[0.01,0.10]	[0.90,1.00]	66	0.974 (1)	0.829 (0.61)	0.967 (0.96)
[0.01,0.30]	[0.01,0.30]	55	0.931 (1)	0.817 (0.50)	0.838 (0.76)
[0.01,0.30]	[0.70,1.00]	77	0.989 (1)	0.822 (0.51)	0.931 (0.70)
[0.70,1.00]	[0.70,1.00]	16	0.856 (1)	0.112 (0.15)	0.119 (0.15)
[0.90,1.00]	[0.90,1.00]	8	0.849 (1)	0.029 (0.05)	0.030 (0.05)

Note. The power printed in bold indicates the design for which the sample calculation should yield a power of 80%. N: total sample size.