| |
Strong
| | |
SB
|
BH
|
SGoF
|
|---|
|
N
|
% effect
|
S
|
Significant
|
Detected
|
FDR
|
Detected
|
FDR
|
Detected
|
FDR
|
|
20
|
5%
|
100
|
7.2
|
0.26
|
21
|
0.29
|
23
|
0.38
|
55
|
|
20
|
5%
|
1000
|
7.1
|
0.04
|
8
|
0.05
|
10
|
0.77
|
34
|
|
20
|
5%
|
10000
|
7.1
|
0.00
|
5
|
0.02
|
5
|
1.67
|
21
|
|
20
|
10%
|
100
|
9.0
|
0.42
|
13
|
0.54
|
17
|
1.04
|
32
|
|
20
|
10%
|
1000
|
9.0
|
0.07
|
3
|
0.15
|
7
|
2.58
|
20
|
|
20
|
10%
|
10000
|
9.0
|
0.01
|
2
|
0.07
|
2
|
3.55
|
12
|
|
20
|
20%
|
100
|
12.5
|
0.77
|
7
|
1.27
|
8
|
3.62
|
17
|
|
20
|
20%
|
1000
|
12.7
|
0.13
|
2
|
0.65
|
3
|
6.29
|
10
|
|
20
|
20%
|
10000
|
12.8
|
0.02
|
1
|
0.47
|
2
|
7.33
|
7
|
| | | |
Mean
|
0.19
|
6.9
|
0.39
|
8.6
|
3.03
|
23.1
|
| | | |
SD
|
0.258
|
6.51
|
0.402
|
7.20
|
2.45
|
15.09
|
|
40
|
5%
|
100
|
8.4
|
1.05
|
7
|
1.36
|
12
|
0.67
|
26
|
|
40
|
5%
|
1000
|
8.5
|
0.29
|
2
|
0.95
|
6
|
2.08
|
14
|
|
40
|
5%
|
10000
|
8.5
|
0.11
|
1
|
0.92
|
2
|
3.03
|
6
|
|
40
|
10%
|
100
|
11.8
|
1.98
|
3
|
3.12
|
7
|
2.90
|
12
|
|
40
|
10%
|
1000
|
11.9
|
0.58
|
1
|
2.76
|
4
|
5.50
|
9
|
|
40
|
10%
|
10000
|
11.8
|
0.21
|
0
|
2.83
|
1
|
6.42
|
2
|
|
40
|
20%
|
100
|
18.7
|
3.76
|
1
|
8.13
|
5
|
9.67
|
7
|
|
40
|
20%
|
1000
|
18.6
|
1.17
|
0
|
7.72
|
2
|
12.23
|
4
|
|
40
|
20%
|
10000
|
18.6
|
0.42
|
0
|
7.62
|
0
|
13.18
|
1
|
| | | |
Mean
|
1.06
|
1.7
|
3.93
|
4.3
|
6.19
|
9
|
| | | |
SD
|
1.173
|
2.24
|
3.029
|
3.71
|
4.557
|
7.70
|
- Strong: The alternative hypothesis is strong.N: sample size. % effect: % of real true alternatives. S: number of tests. Significant: % of significants before adjustment. Detected: % of significant tests after adjustment. FDR: false discovery rate. SB: Sequential Bonferroni. BH: Benjamini and Hochberg. SGoF: Sequential Goodness of Fit.
