Clarify by worked example, or carefully chosen words, not confused
pseudocode (note that -xtline- applied to the time variable produces a
bunch of y=x function graphs).
webuse psidextract, clear
collapse (sum) _freq=union, by(ed t)
ren ed state
tsset state t
qui xi: poisson _freq t i.state
predict n
xtline n _freq if state>12
On Thu, Dec 31, 2009 at 1:12 PM, moleps <[email protected]> wrote:
> What I want is to overlay the poisson predicted values (that I´m unsure how to get), ie :
>
> tsset state _freq
> xtline _freq
> xtpoisson ...something...
> predict pr
>
> xtline ***_freq & pr (/overlaid on each other**
>
> Happy new year,
>
> M
>
> On 31. des. 2009, at 19.02, Martin Weiss wrote:
>
>> <>
>>
>> What exactly do you want to overlay? The predicted number from the -poisson- regressions? Please clarify.
>>
>>
>> Happy new year
>> Martin
>> -------- Original-Nachricht --------
>>> Datum: Thu, 31 Dec 2009 18:14:59 +0100
>>> Von: moleps <[email protected]>
>>> An: [email protected]
>>> Betreff: st: Panel data and poisson-regression
>>
>>> Dear listers,
>>> I´m looking for an effect over time between different states on the
>>> incidence of a rare cancertype. I´ve contracted my data so that I´m only left
>>> with _freq, state and year.
>>>
>>> .tsset state _freq
>>> .xtline _freq
>>>
>>> and from here on I´m stuck. What I´d like to do is to fit a poisson
>>> regression model for each of the states and have it overlaid on the -xtline
>>> _freq-...
>>>
>>> Any ideas on how to do this?
>>>
>>> regards,
>>> M
*
* 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/
