OK.. thanks.. didnt know xtline accepted multiple variables.
Instead of fitting individual dummy variables isnt it possible to use xtpoisson/xtmepoisson instead ?
Regards,
M
On 31. des. 2009, at 19.44, Austin Nichols wrote:
> 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
>
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