Abstract
Our main aim in this paper is to highlight current practice and education in multiple scenario comparison within DES experimentation and to illustrate the possible benefits of employing false discovery rate (FDR) control as opposed to strict family-wise error rate (FWER) control when comparing large numbers of scenarios in an exploratory manner. We present the results of a small survey into the current practice of scenario analysis by simulation practitioners and academics. The results indicated that the range of scenarios used in DES studies may prohibit the use of FWER control methods such as the Bonferroni Correction referred to in DES textbooks. Furthermore, 80% of our sample were not familiar with any of the multiple comparison control procedures presented to them. We provide a practical example of the FDR in action and argue that it is preferable to employ FDR instead of no multiple comparison control in exploratory style studies.
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