Multiple comparisons: philosophies and illustrations.

By Douglas Curran-Everett. American Journal of Physiology. Regulatory Integrative and Comparative Physiology, 2000

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HERMES: Towards an Integrated Toolbox to Characterize Functional and Effective Brain Connectivity (2013, background): “This is the wellknown multiple comparisons problem, which has received much attention in the statistical literature (see, for instance, (Tukey 1991) for a review and (Curran-Everett 2000) for its importance in the context of biomedical statistical analyses and a review of some popular solutions).”
Deep brain stimulation can suppress pathological synchronisation in parkinsonian patients (2010, methodology): “05 survived correction for multiple testing using the false discovery rate procedure.(24)”
Head shape allometry and proximate causes of head sexual dimorphism in Podarcis lizards: joining linear and geometric morphometrics (2007, methodology): “Because multiple comparisons were carried out on the same data (Curran-Everett, 2000), P-values for each species were adjusted following the False Discovery Rate procedure (Benjamini & Hochberg, 1995).”
Evolution of humeral microanatomy and lifestyle in amniotes, and some comments on palaeobiological inferences (2010, background): “The main problem with multiple test correction is that these procedures typically reduce power (thus increasing the probability of making a type II error), although substantial progress on accounting for multiple tests was made with the development of the false discovery rate procedure (FDR), which ”