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June 19, 2007Epidemiologic Perspectives & Innovations284 citationsOpen Access

Power for tests of interaction: effect of raising the Type I error rate

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SMStephen W. Marshall

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Abstract

Relaxing the Type I error rate did not usefully improve the power for tests of interaction in many of the scenarios studied. In many studies, the small power gains obtained by raising the Type I error will be more than offset by the disadvantage of increased "false positives". I recommend investigators should not routinely raise the Type I error rate when assessing tests of interaction.

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Stephen W. Marshall (2007) studied this question.

synapsesocial.com/papers/69dbdc563d9adb00e7685645https://doi.org/10.1186/1742-5573-4-4
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