Re: st: table formatting in stata

[Sergiy Radyakin <serjradyakin@gmail.com>]

Dear David, Haluk,

I have just augmented -ttesttab.ado- to show confidence interval for
difference of the means. Default is 95% level, use option /level(#)/
to specify level the same way standard -ttest- expects it. Use option
/unequal/ if appropriate.

Question #1: Is anybody else interested in this? Do commands like
these deserve to be posted to SSC?

Question #2: Does anybody know how to merge the columns titles in the
output of the 'undocumented' undocumented command _matrix_table?

Best, Sergiy

On Fri, Jun 28, 2013 at 5:30 PM, Haluk Vahaboglu <vahabo@hotmail.com> wrote:
> Dear David,
> Thank you for this valuable suggestion. I agree with you, confidence limits of diff is  more useful.
> The problem is, I can not implement this option to the ttestab.ado.
>
>
>
>
> Prof. Dr. Haluk Vahaboğlu
> Istanbul Medeniyet
> Üniversitesi,
> Göztepe Eğitim ve Araştırma Hastanesi
> Enfeksiyon Hastalıkları
> ve Klinik Mikrobiyoloji ABD
> Dr. Erkin Caddesi  34730
> Kadıköy / Istanbul  TURKIYE
>
>
>
>> Date: Fri, 28 Jun 2013 07:54:49 -0400
>> Subject: Re: st: table formatting in stata
>> From: dchoaglin@gmail.com
>> To: statalist@hsphsun2.harvard.edu
>>
>> Dear Haluk,
>>
>> I will not try to help with the programming, but I do have a
>> suggestion for the content of the table: give the confidence interval
>> for the difference between the two means.  That will be much more
>> useful to readers than the p-value.  In current practice, after you
>> have given the confidence interval, the p-value is optional.
>>
>> David Hoaglin
>>
>> On Thu, Jun 6, 2013 at 5:11 AM, Haluk Vahaboglu <vahabo@hotmail.com> wrote:
>>> TD P { margin-bottom: 0in; }P { margin-bottom: 0.08in; }
>>>
>>>
>>> Hello Everybody,
>>> In our research papers we
>>> mostly present continuous data in a table with comparison to cases vs
>>> controls as "n mean SD and p (from Ttest)". Here is a brief
>>> example of such a table:
>>>
>>>
>>>
>>> ................Cases   /  Controls
>>>         ........N mean (SD)     N mean (SD)...p
>>> Var1
>>> Var2
>>
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