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Table 9 Adjusted p value for N × N comparisons of peak models over 30runs

From: Feature selection using angle modulated simulated Kalman filter for peak classification of EEG signals

Peak model versus peak model pUnadj pNeme pHolm pShaf pBerg
Dingle versus AMSKF 0 0 0 0 0
Liu versus AMSKF 0 0 0 0 0
Acir versus Dingle 0 0 0 0 0
Dumpala versus Dingle 0 0.000002 0.000001 0.000001 0.000001
Dumpala versus AMSKF 0.000063 0.000631 0.000379 0.000379 0.000252
Acir versus AMSKF 0.000447 0.004465 0.002233 0.001786 0.000893
Acir versus Liu 0.002519 0.025191 0.010076 0.010076 0.007557
Liu versus Dingle 0.007051 0.070507 0.021152 0.021152 0.014101
Dumpala versus Liu 0.011369 0.113693 0.022739 0.022739 0.014101
Dumpala versus Acir 0.624206 6.242061 0.624206 0.624206 0.624206
  1. The p values below 0.05 were marked with the italic font
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