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Thread: Using Bonferonni in Multiple Regression

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    Using Bonferonni in Multiple Regression




    Hi all,

    I'm currently working on a data-set involving several continuous independent variables and i'm wondering how the Bonferonni correction can be applied.

    What i'm wondering is if I have a model involving a DV being predicted by several continuous IVs, would Bonferonni correction simply involve dividing alpha by the number of predictors? Do I need to add 1 for the constant (intercept) test?

    This article below mentions dividing alpha by the number of predictors (7 predicts = a/7) but I wanted to make sure if this was correct.

    http://citeseerx.ist.psu.edu/viewdoc...=rep1&type=pdf

    Thanks in advance

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    Re: Using Bonferonni in Multiple Regression


    Hi,
    I think only the IVs are included because you would generally keep the constant term irrespective of the p-value. However Bonferroni is probably a bit of an overkill, I would suggest the method described here - http://www.stat.purdue.edu/~doerge/B...%20Y%20FDR.pdf

    regards

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