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RE: st: Model for Poisson-shaped distribution but with non-count data

From   "Silcocks, Paul" <>
To   "''" <>
Subject   RE: st: Model for Poisson-shaped distribution but with non-count data
Date   Tue, 6 Dec 2011 08:46:14 +0000

How about using gllamm?  You can have a random intercept, identity link and a gamma family

Paul Silcocks BM BCh, MSc , FRCPath, FFPH, CStat
Senior statistician,
Cancer Research UK Liverpool Cancer Trials Unit 
University of Liverpool
Block C Waterhouse Building
1-3 Brownlow Street
L69 3GL 

tel: 0151 7948802
mob: 0794 983 2775

-----Original Message-----
From: [] On Behalf Of Paul Millar
Sent: 06 December 2011 05:10
Subject: Re: st: Model for Poisson-shaped distribution but with non-count data


An appropriate distribution would be gamma, but that is only available
for panel data.  Anyone up for creating a new MLE command?

- Paul
On Mon, Dec 5, 2011 at 6:34 PM, Owen Gallupe <> wrote:
> Hello,
> Does anyone know what type of regression model I should use? I've been
> searching and have not been able to find a modeling approach designed
> to meet the distributional properties of a variable I am hoping to
> analyse.
> The dependent variable has what looks like a Poisson distribution, but
> with non-count data. About 28% of the sample scores somewhere between
> 0 and 1. The highest value is 182.6. Skew = 2.256; kurtosis = 10.002.
> N=2776.
> I have tried bootstrapped linear regressions and linear regressions
> after employing a normalizing transformation using lnskew0 (though the
> normalization is not perfect and results in a bimodal residual
> distribution).
> One further complication is that I need to include random intercepts.
> If anyone could help, it would be very  much appreciated.
> Regards,
> Owen Gallupe
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- Paul Millar, Ph.D.
School of Criminology and Criminal Justice
Nipissing University
North Bay, Ontario, Canada

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