I always liked Johan Bring's (1994.  How to standardize regression
coefficients.  Am. Stat. 48(3):209-213.) arguments for standardizing the
beta estimates in a linear model by their partial standard deviations which
equates to comparing ratios of t-statistics between variables to determine
their relative importance.   It seems to me that this approach ought to
work reasonably well for any of the generalized linear models.

Brian


On Fri, Dec 14, 2012 at 8:00 AM, Michael Dewey <info@aghmed.fsnet.co.uk>wrote:

> At 08:33 14/12/2012, Jeremy Goss wrote:
>
>> Dear users,
>>
>> Does anyone have any idea how to generate standardised beta coefficients
>> for a ZINB model in R to compare which explanatory variables are having
>> the
>> greatest impact on the dependent variable?
>>
>
> You might like to look at Ulrike Grömping's work on relative importance in
> regression. Not sure how directly this translates into the non-linear case
> though.
>
> J Stat Soft October 2006 vol 17 number 1
>
>
>  Thanks,
>> Jeremy
>>
>>         [[alternative HTML version deleted]]
>>
>
> Michael Dewey
> info@aghmed.fsnet.co.uk
> http://www.aghmed.fsnet.co.uk/**home.html<http://www.aghmed.fsnet.co.uk/home.html>
>
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> and provide commented, minimal, self-contained, reproducible code.
>



-- 
Brian S. Cade, PhD

U. S. Geological Survey
Fort Collins Science Center
2150 Centre Ave., Bldg. C
Fort Collins, CO  80526-8818

email:  brian_cade@usgs.gov
tel:  970 226-9326

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