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Re: st: SSC for Bonferroni correction - multiple testing?
From
Gwinyai Masukume <[email protected]>
To
[email protected]
Subject
Re: st: SSC for Bonferroni correction - multiple testing?
Date
Mon, 31 Mar 2014 08:01:51 +0200
Thanks for this Roger.
Gwinyai
On 3/30/14, Roger B. Newson <[email protected]> wrote:
> I would use the -qqvalue- package, downloadable from SSC, which inputs a
> variable containing p-values and outtputs a variable containing q-values
> (adjusted p-values) from one of a choice of multiple-test procedures,
> defaulting to the Bonferroni procedure. To use -qqvalue-, you must have
> a dataset with 1 observation per tested parameter and data on P-values
> and possibly other parameter attributes. Such a dataset may be created
> using the SSC package -parmest-, or may be created manually, using a
> spreadsheet. See Newson (2010) to find more about -qqvalue-.
>
> A lot of Stata commands can also produce Bonferroni- and Sidak-corrected
> p-values and confidence limits, if requested by the user.
>
> I hope this helps.
>
> Best wishes
>
> Roger
>
> References
>
> Newson RB. Frequentist q-values for multiple-test procedures. The Stata
> Journal 2010; 10(4): 568-584. Doownload from
> http://www.stata-journal.com/article.html?article=st0209
>
> Roger B Newson BSc MSc DPhil
> Lecturer in Medical Statistics
> Respiratory Epidemiology, Occupational Medicine
> and Public Health Group
> National Heart and Lung Institute
> Imperial College London
> Royal Brompton Campus
> Room 33, Emmanuel Kaye Building
> 1B Manresa Road
> London SW3 6LR
> UNITED KINGDOM
> Tel: +44 (0)20 7594 7931
> Email: [email protected]
> Web page: http://www.imperial.ac.uk/nhli/r.newson/
> Departmental Web page: http://www.imperial.ac.uk/nhli/reomph/
>
> Opinions expressed are those of the author, not of the institution.
>
> On 30/03/2014 20:25, Gwinyai Masukume wrote:
>> Hi Stata list,
>>
>> Is there an SSC that automatically gives you the percentage chance of
>> having at least one false positive and at least one false negative as
>> you increase or decrease the number of statistical tests done?
>>
>> With thanks
>> Gwinyai
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