Re: st: Bonferroni corrected CIs (multiple comparisons issue?)

[Nicole Boyle <nicboyle@gmail.com>]

Fantastic, thanks Nick!

Nicole

On Sat, Sep 7, 2013 at 3:23 PM, Nikolaos Pandis <npandis@yahoo.com> wrote:
> Nicole try
>
>
> 'pwcompare cat_var, mcompare(bonferroni) effects'
>
> after fitting stcox
>
> check "pwcompare" command as other options are avilable
>
>
> Nick
>
>
>
> ________________________________
> From: Nicole Boyle <nicboyle@gmail.com>
> To: statalist@hsphsun2.harvard.edu
> Sent: Sunday, September 8, 2013 1:07 AM
> Subject: st: Bonferroni corrected CIs (multiple comparisons issue?)
>
>
> Is anyone aware of a method of obtaining Bonferroni corrected
> confidence intervals from a Cox regression?
>
> I am aware of the post-estimation command for Bonferroni corrected
> p-values of, say, an exposure variable ("var") with three categories
> (0.var, 1.var, 2.var), and therefore two tests against the reference
> group (0.var)...
>             stcox i.var
>             test 1.var 2.var, mtest(bonferroni)
> ...but since I feel that confidence intervals are more informative
> than p-values, I'd like to explore the CI option.
>
> To clarify the intent behind this, I've been requested to obtain
> Bonferroni p-values in order to help avoid the possibility of multiple
> comparisons bias. If anyone has any recommendations for presenting
> multiple comparisons results, I'd greatly appreciate your thoughts.
>
> For the record, of the four variables in my model that might warrant
> Bonferroni corrections, they have (respectively) four, three, two, and
> two tests against their reference groups.
>
> Thanks for your consideration,
> Nicole
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