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. 2019 Aug 30;22(2):301–308. doi: 10.1038/s41436-019-0636-5

Table 4.

Power comparison between Bayesian method and theZ-test method

FFa Method 0.1× 0.2× 0.5×
0.04 BF 0.8306 0.9845 0.9998 1.0000 1.0000 1.0000
0.04 Z 0.8125 0.9779 0.9993 1.0000 1.0000 1.0000
0.06 BF 0.9963 1.0000 1.0000 1.0000 1.0000 1.0000
0.06 Z 0.9930 0.9999 1.0000 1.0000 1.0000 1.0000
0.08 BF 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000
0.08 Z 0.9999 1.0000 1.0000 1.0000 1.0000 1.0000
0.12 BF 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000
0.12 Z 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000
FFb Method 0.1× 0.2× 0.5×
0.04 BF 0.0602 0.0800 0.3620 0.6710 0.8830 0.9914
0.04 Z 0.0396 0.0529 0.3500 0.6550 0.8436 0.9832
0.06 BF 0.1797 0.2365 0.7398 0.9575 0.9973 1.0000
0.06 Z 0.1521 0.2240 0.7039 0.9321 0.9932 1.0000
0.08 BF 0.3622 0.4539 0.9391 0.9981 1.0000 1.0000
0.08 Z 0.3540 0.4535 0.9163 0.9952 0.9999 1.0000
0.12 BF 0.7092 0.8348 0.9994 1.0000 1.0000 1.0000
0.12 Z 0.6767 0.7973 0.9984 1.0000 1.0000 1.0000

The comparisons were done at different FFs (row) and different coverages (column). The recorded power is at the type I error of 0.001.

BF Bayesian method,Z Z-test.

aSimulated based on empirical data of chromosomes 13, 18, and 21.

bBased on three 5-Mb regions each drawn from the three chromosomes.