Multiple testing corrections in a climate complex network

Multiple testing corrections (MTC) are used to reduce type I error in a group of two or more tests, or when two or more tests address a common null hypothesis. The MTC methods available can be divided into two different families according to the control of type I error: (i) the family-wise error rate; (ii) the false discovery. Four MTC methods are investigated here, highlighting advantages and disadvantages in complex networks. We use a binarized precipitation network as illustrative case study. False discovery rate corrections seem to be a better option in complex network analyses. (C) 2022 Elsevier B.V. All rights reserved.

Automated summary

This study investigates the application of multiple testing corrections in complex network analysis. By comparing four different methods, it is found that false discovery rate correction is a better option.