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. Author manuscript; available in PMC: 2016 Jun 24.
Published in final edited form as: Stat Biopharm Res. 2015 Mar 4;7(2):81–94. doi: 10.1080/19466315.2015.1006373

Table 1.

Total sample size (equally sized groups; r =0.5) required for evaluating the joint effects of both relative risks with an overall power of 1 − β =0.80 and 0.90 for a one-sided test at the significance level of α =0.025

Assumption Overall
power
Sample Size Correlation

0.0 0.3 0.5 0.8 0.99
A1 1. CDD 50% reduction with CDD frequencies of 4% in placebo 0.80 Normal approximation 2,222 2,212 2,204 2,198 2,198
(Empirical power) (0.796) (0.796) (0.794) (0.793) (0.793)
Simulation-based 2,260 2,240 2,238 2,234 2,234
(Empirical power) (0.802) (0.800) (0.801) (0.802) (0.802)
2. AAD 50% reduction with ADD frequencies of 10% in placebo 0.90 Normal approximation 2,978 2,976 2,974 2,972 2,972
(Empirical power) (0.902) (0.898) (0.900) (0.900) (0.900)
Simulation-based 2,968 2,972 2,974 2,972 2,972
(Empirical power) (0.900) (0.900) (0.900) (0.900) (0.900)
A2 1. CDD: 50% reduction with CDD frequencies of 4% in placebo 0.80 Normal approximation 3,130 3,052 3,014 3,014 3,014
(Empirical power) (0.799) (0.799) (0.798) (0.798) (0.798)
Simulation-based 3,134 3,060 3,022 3,022 3,022
(Empirical power) (0.802) (0.802) (0.800) (0.800) (0.800)
2. AAD: 25% reduction with ADD frequencies of 15% in placebo 0.90 Normal approximation 3,940 3,886 3,858 3,858 3,858
(Empirical power) (0.902) (0.900) (0.900) (0.900) (0.900)
Simulation-based 3,928 3,886 3,856 3,856 3,856
(Empirical power) (0.900) (0.900) (0.900) (0.900) (0.900)

The empirical powers under the given sample size using 100,000 Monte-Carlo trials. Monte-Carlo simulation-based sample size was calculated using 100,000 Monte-Carlo trials.