Boostrap-Based Multiple Testing Adjustments: New R Package

A recent trend in quantitative political science is the increasing attention to the multiple testing problem in hypothesis testing. As we examine more and more dependent variables or subgroups in a given study, the potential for falsely rejecting at least one null hypothtesis due to chance increases. Despite this being a widely recognized problem in statistical theory, relatively few studies implement corrections that adjust p-values in order to guard against false positives.