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RE: st: RE: continuous variable+zip,zinb
Yes, I believe the assumption is that the natural logarithm of the incidence rate is linearly related to the continuous variable.
-----------------------------------------
Maarten L. Buis
Department of Social Research Methodology
Vrije Universiteit Amsterdam
Boelelaan 1081
1081 HV Amsterdam
The Netherlands
visiting adress:
Buitenveldertselaan 3 (Metropolitan), room Z434
+31 20 5986715
http://home.fsw.vu.nl/m.buis/
-----------------------------------------
-----Original Message-----
From: [email protected] [mailto:[email protected]]On Behalf Of Johanna LEPEULE
Sent: maandag 6 november 2006 16:50
To: [email protected]
Subject: Re: st: RE: continuous variable+zip,zinb
Thank you Maarten,
Is there assumptions between continuous x and incidence rates for the
Poisson part ?
Thanks
Johanna Lepeule
Le 16:22 06/11/2006, vous avez �crit:
>Johanna Lepeule:
>You can use continuous variables in both parts. However, the linearity
>assumption in the inflate part is in terms of log odds and not in terms
>of y. So looking at a scatter of y versus continuous x won't tell you
>anything about the feasibility of this assumption.
>HTH,
>Maarten
>
>-----------------------------------------
>Maarten L. Buis
>Department of Social Research Methodology
>Vrije Universiteit Amsterdam
>Boelelaan 1081
>1081 HV Amsterdam
>The Netherlands
>
>visiting adress:
>Buitenveldertselaan 3 (Metropolitan), room Z434
>
>+31 20 5986715
>
>http://home.fsw.vu.nl/m.buis/
>-----------------------------------------
>
>-----Original Message-----
>From: [email protected]
>[mailto:[email protected]]On Behalf Of Johanna LEPEULE
>Sent: maandag 6 november 2006 16:08
>To: [email protected]
>Subject: st: continuous variable+zip,zinb
>
>Dear Stata listers,
>
>I use zip and zinb models.
>I think I can use continuous variables in the inflate part (binary part) of
>the model if I check the linearity assumption between the continuous x
>variable and the Y variable. Is it right ?
>However, I am not sure if I can use continuous variables in the Poisson or
>Negative binomial part.
>
>Does anyone have suggestions ?
>Thanks
>Johanna Lepeule
>
>
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