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. Author manuscript; available in PMC: 2024 Sep 1.
Published in final edited form as: Comput Stat Data Anal. 2023 Apr 24;185:107765. doi: 10.1016/j.csda.2023.107765

Table 1:

Edge-wise results of extracting mediation pattern UcVd by all methods. We demonstrate the false discovery rate (FDR), sensitivity (sens) and specificity (spec) across different settings for all comparable methods.

Mediation effect size and Sample size Method Cluster Size = 10 × 10
Cluster Size = 20 × 20
FDR sens spec FDR sens spec
Effect=0.24
n=80
BH 0 0.021(0.135) 1 0 0.155(0.359) 1*
3-step 0.118(0.247) 0.371(0.459) 1* 0.014(0.101) 0.296(0.433) 1*
PathL 0.222(0.245) 0.490(0.179) 0.973(0.042) 0.098(0.018) 0.365(0.127) 0.979(0.042)
MMO 0.106(0.188) 0.955(0.129) 0.998(0.004) 0.057(0.116) 0.950(0.131) 0.997(0.001)
Effect=0.24
n=200
BH 0.017(0.048) 0.728(0.434) 1* 0.001(0.013) 0.895(0.299) 1*
3-step 0.149(0.162) 0.952(0.161) 0.998(0.003) 0.022(0.24) 0.974(0.131) 1*
PathL 0.129(0.102) 0.740(0.182) 0.984(0.017) 0.106(0.125) 0.629(0.086) 0.980(0.023)
MMO 0.040(0.084) 0.994(0.028) 1* 0.004(0.020) 1 1*

Effect=0.16
n = 80
BH 0 0 1 0 0.017(0.128) 1
3-step 0.082(0.215) 0.204(0.368) 1* 0.009(0.025) 0.112(0.294) 1*
PathL 0.208(0.248) 0.530(0.142) 0.971(0.046) 0.106(0.181) 0.405(0.128) 0.976(0.043)
MMO 0.136(0.208) 0.950(0.154) 0.997(0.005) 0.124(0.129) 0.937(0.152) 0.993(0*)
Effect=0.16
n = 200
BH 0 0.607(0.481) 1 0.004(0.019) 0.758(0.409) 1*
3-step 0.114(0.160) 0.899(0.207) 0.998(0.003) 0.037(0.082) 0.946(0.189) 0.998(0.005)
PathL 0.086(0.193) 0.460(0.135) 0.993(0.015) 0.036(0.095) 0.379(0.141) 0.996(0.009)
MMO 0.041(0.076) 1 1* 0.047(0.078) 1 0.998(0.004)

Effect=−0.24
n = 200
BH 0* 0.763(0.420) 1 0.007(0.027) 0.863(0.341) 1*
3-step 0.003(0.019) 0.150(0.359) 0.999(0.003) 0.0002(0.002) 0.111(0.313) 1*
PathL 0.167(0.214) 0.630(0.134) 0.981(0.027) 0.057(0.121) 0.445(0.107) 0.993(0.016)
MMO 0.030(0.099) 0.999(0.009) 0.999(0.002) 0.023(0.070) 0.993(0.057) 0.999(0.004)

p, q = 300
Effect=0.16
Cluster Size = 30 × 30
Sample size = 200
Sample size = 80
BH 0.017(0.060) 0.504(0.492) 1* 0 0 1
3-step 0.131(0.155) 0.712(0.437) 0.999(.0002) 0.025(0.033) 0.096(0.287) 1*
PathL 0.087(0.084) 0.667(0.096) 0.993(0.007) 0.238(0.149) 0.393(0.113) 0.985(0.011)
MMO 0.076(0.129) 0.966(0.106) 0.999(0.003) 0.089(0.126) 0.867(0.219) 0.999(0.002)
*

represents a rounded number.