[R] Bonferroni correction for multiple correlation tests

[Bert Gunter]

Indeed...

But it seems clear that,

1. This is off topic for this list.
2. Ms. Cowpertwait would be wise to seek the help of a local statistician.

does it not?

Cheers,
Bert

On Wed, Aug 29, 2012 at 6:48 PM, R. Michael Weylandt
<michael.weylandt at gmail.com> wrote:
> On Wed, Aug 29, 2012 at 6:23 PM, Louise Cowpertwait
> <louisecowpertwait at gmail.com> wrote:
>> Please can someone advise me how I can adjust correlations using bonferroni's correction? I am doing manny correlation tests as part of an investigation of the validity/reliability of a psychometric measure.
>> Help would be so appreciated!
>> Cheers,
>> Louise
>>
>
> The observed correlation is an immutable property of the observed data
> and the Bonferroni correction does not change it. Rather, it should be
> applied to the p-values of the observed correlations, much as it would
> be for any test. Those more statistically savy than I might jump in,
> but I don't see why the p-values of, e.g., cor.test() would be
> adjusted in a different way than those of t.test().
>
> Consider a similar case for a set of t-tests: you see some data and do
> the tests based on the sample means. It doesn't make any sense to
> "adjust the mean" of your data, rather you might wish to adjust your
> _interpretation_ of calculated p-values to account for multiple
> comparisons.
>
> Cheers,
> Michael
>
>> ______________________________________________
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>> and provide commented, minimal, self-contained, reproducible code.
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.



-- 

Bert Gunter
Genentech Nonclinical Biostatistics

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