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ABSTRACT:
SUBMITTER: Blakesley RE
PROVIDER: S-EPMC3045855 | biostudies-literature | 2009 Mar
REPOSITORIES: biostudies-literature
Blakesley Richard E RE Mazumdar Sati S Dew Mary Amanda MA Houck Patricia R PR Tang Gong G Reynolds Charles F CF Butters Meryl A MA
Neuropsychology 20090301 2
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. Standard p value adjustment methods include Bonferroni-, Sidak-, and resampling-class methods. In this report, t ...[more]