Incidentally, if you are running separate regressions for groups of
observations, there is little or no need to write your own loops.
-statsby- provides a basic framework to get a dataset of results.
Nick
On Wed, Feb 20, 2013 at 8:54 PM, Xixi Lin <winnielxx@gmail.com> wrote:
> Thanks Nick.
>
> That is very helpful.
>
> Best,
> Xixi Lin
>
> On Wed, Feb 20, 2013 at 3:09 PM, Nick Cox <njcoxstata@gmail.com> wrote:
>> . search t statistic
>>
>> points to, among other things,
>>
>> SJ-7-4 st0137 . . . . . . . . . . . Stata tip 53: Where did my p-values go?
>> . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . M. L. Buis
>> Q4/07 SJ 7(4):584--586 (no commands)
>> tip on calculating the t statistic, p-values, and
>> confidence intervals using returned results
>>
>> which is fully accessible to you at
>>
>> http://www.stata-journal.com/article.html?article=st0137
>>
>> Nick
>>
>> On Wed, Feb 20, 2013 at 8:01 PM, Xixi Lin <winnielxx@gmail.com> wrote:
>>
>>> I am running many univariate regressions, I want to know the t
>>> statistics for the independent variable, and I want to write a loop to
>>> do the regression, but I don't know how to display t statistics.
*
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