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. Author manuscript; available in PMC: 2014 Jan 27.
Published in final edited form as: Stat Sin. 2013 Jan 1;23(1):231–250. doi: 10.5705/ss.2011.081

Table 7.1.

Simulation results comparing our approach with Shih’s approach in the two-sample comparison problem with a binary outcome and a cluster level binary exposure. Sample sizes are for achieving a nominal power 90% to detect different relative risks (p1/p0) at 0.05 significance level for different correlations ρ. The reference risk p0 is fixed at 0.1 and ψ0 = 0. Empirical powers are based on the Wald test. The “actual” are the sample sizes with empirical powers closest to the nominal power 90%.

Our approach
Shih’s approach
“Actual”
RR ρ m Power (%) m Power (%) m Power (%)
2.5 0.20 156 89.82 172 92.43 158 89.96
0.50 195 89.47 215 92.28 196 90.03
0.80 234 89.40 258 92.68 238 90.06
3.0 0.20 95 89.32 110 93.65 96 90.11
0.50 119 89.52 138 93.52 122 90.49
0.80 142 89.45 165 93.25 144 89.86
3.5 0.20 65 89.11 79 93.85 66 89.87
0.50 81 88.20 99 94.28 84 89.62
0.80 97 88.76 118 94.45 100 89.98