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In frequentist hypothesis testing, the $p$-value is the probability of a result as extreme (or more) than the observed result, under the assumption that the null hypothesis is true.

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Adjusting p-values for a single predictor

I have 42 DV's that I have individually modelled versus the same single IV - using GAMs via the mgcv package in R. This has produced a total of 42 individual models for each of my DV's and the associa …
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