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Table 3 Outlier detection by different methods (C = 20) and different cutpoints

From: Quantile regression for overdispersed count data: a hierarchical method

 

Pairwise comparison exceedance

Exceedance against exponential mean

Standardised residual distance measure

Standardised log(Wiδ)

Adjusted boxplot rulea

Lower Cutpoint Choices

 Cutpoint

0.7

0.7

2

2

0.69

 Sensitivity

0.938

0.908

0.946

0.986

0.922

 Specificity

0.995

0.998

0.988

0.97

0.994

 Youden Index

0.933

0.906

0.934

0.956

0.916

Higher Cutpoint Choices

 Cutpoint

0.8

0.8

3

3

0.69

 Sensitivity

0.618

0.738

0.658

0.648

0.922

 Specificity

1

1

1

1

0.994

 Youden Index

0.618

0.738

0.658

0.648

0.916

  1. aCutpoint is multiplicative adjustment to IQR