Thanks a lot Martin,
that helped a lot. I just thought that these values are already stored
somewhere, since they are reported when running the analysis.
However calculating it by myself, then storing it with estadd, works
just fine. Then it is also easy to use it with outreg2 using the
addstats() option.
Again,
thanks for the help,
dirk
2008/9/21 Martin Weiss <[email protected]>:
> I would not know how to do this with -outreg2-, but if you could be bothered
> to use the -estout- family of commands, then
>
> ********
> clear*
> cap ssc inst estout
> webuse stan3, clear
> stset
> stcox age posttran surg yea
> estadd sca prchi2= 1-chi2(e(df_m),e(chi2))
> eststo
> esttab, sca(prchi2)
> ********
>
> Tweak the -esttab- line to your needs, i.e. Latex output or csv... See -h
> esttab-
>
> HTH
> Martin
> _______________________
> ----- Original Message ----- From: "junin" <[email protected]>
> To: <[email protected]>
> Sent: Sunday, September 21, 2008 11:52 AM
> Subject: Stcox ereturn list: wrong chi2 p-value?s
>
>
>> Hello,
>>
>> I have a question concerning the output of a Cox regression, which I
>> want to access with outreg2. Below you find the results of the Cox
>> regression command as well as the ereturn list results. My question
>> is: Why doesn't the e(r2_p) = .0006402283288656 repor the Prob >
>> chi2 = 0.0025?
>> How can I access the Prob > chi2?
>>
>> Thank you for you help,
>>
>> dirk
>>
>>
>> Cox regression -- Breslow method for ties
>>
>> No. of subjects = 1970 Number of obs = 15654
>> No. of failures = 1065
>> Time at risk = 15654
>> LR chi2(1) = 9.17
>> Log likelihood = -7153.7882 Prob > chi2 =
>> 0.0025
>>
>>
>> ------------------------------------------------------------------------------
>> _t | Haz. Ratio Std. Err. z P>|z| [95% Conf.
>> Interval]
>>
>> -------------+----------------------------------------------------------------
>> Xsales | .99992 .0000413 -1.94 0.053 .9998391 1.000001
>>
>> ------------------------------------------------------------------------------
>>
>> . ereturn list
>>
>> scalars:
>> e(N) = 15654
>> e(ll_0) = -7158.37122089778
>> e(ll) = -7153.788228853626
>> e(df_m) = 1
>> e(chi2) = 9.165984088309415
>> e(r2_p) = .0006402283288656
>> e(N_sub) = 1970
>> e(N_fail) = 1065
>> e(risk) = 15654
>> *
>> * For searches and help try:
>> * http://www.stata.com/help.cgi?search
>> * http://www.stata.com/support/statalist/faq
>> * http://www.ats.ucla.edu/stat/stata/
>>
>
>
> *
> * For searches and help try:
> * http://www.stata.com/help.cgi?search
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
>
--
Dirk Volland
mobile +358468948277
skype junin7
! new Email: [email protected]
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
