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Moreover, we have previously shown that a performance comparable to that of global coordination is achievable using a cluster size of three.
Moreover, it can also be observed that dynamic chunk allocation using the BB protocol achieves better performance than that is achieved with the cluster-based static chunk allocation using a cluster size of 3 in terms of median system throughput, median user throughput and peak user throughput (See Figure 6b-d).
Thirty-two clusters were required by using a cluster size of 20 households (640 / 20 = 32).
Using a cluster size of 50 eligible adults, a total of 310 clusters were randomly selected across the country of which 226 (72.9%) were rural and 84 (27.1%) were urban.
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This indicates that a higher fraction of the singleton peaks are potentially noisy and no gain in peak confidence is realised by increasing the cluster size limit from 2 to 3. We thus decided to use a cluster size limit of 2 in our study.
We therefore examined significance using a cluster-size permutation test, whereby the cluster-sizes of adjacent time-frequency points significant on T-tests were compared with a distribution of cluster-sizes arising by chance (Maris and Oostenveld, 2007), analogously to the synchrony analyses (Sweeney-Reed et al., 2014).
The identification of high risk clusters with the SaTScan™ was performed under the Poisson probability model assumption using a maximal cluster size of 50% of the total population.
To control for Type I error, voxels were processed using an iterative cluster size thresholding procedure [24] that considered the spatial smoothness of functional imaging data when generating activation maps based on a corrected cluster threshold (p<.05).
Using an average cluster size, and equal sample size for males and females, we calculated the sampling interval (SI) by dividing the total cumulative measure of size by the number of classes to be selected.
The inflation factor was estimated using an average cluster size of approximately two (337 observations/199 participants) and the largest intra-cluster correlation coefficient was (ICC) estimated from the data of 0.32 (mean ICC 0.04).
We use a minimum cluster size Cmin=5, a clustering threshold Z θ =0.3, and a distance threshold d θ =150 m.
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