Comparisons of methods for multiple hypothesis testing in neuropsychological research.
Comparisons of methods for multiple hypothesis testing in neuropsychological research.
Hypothesis testing with multiple outcomes requires adjustments to control Type I error inflation, which reduces power to detect significant differences. Maintaining the prechosen Type I error level is challenging when outcomes are correlated. This problem concerns many research areas, including neuropsychological research in which multiple, interrelated assessment measures are common. …