Displaying 2 results from an estimated 2 matches for "execess".
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2005 Mar 11
0
Negative binomial regression for count data,
...?
Thanks,
Reza
vito muggeo <vmuggeo@dssm.unipa.it> wrote:
Hi,
I do not know the article. Notice that an excess of zeroes can lead to
(spurious) overdispersion in data, therefore you should decide whether
assuming a zip ( zero excess coming from a "mixture") or a negBin (zero
execess due to overdispersion) model. Of course some likelihood based
criteria (eg AIC) could be of help for you
However it is possible (at least in principle) to account for both extra
zeros and overdispersion as well. S. Jackman has written code to fit
zip or zinb regression models http://pscl.stanfo...
2005 Mar 03
1
Negative binomial regression for count data
Dear list,
I would like to fit a negative binomial regression model as described in "Byers AL, Allore H, Gill TM, Peduzzi PN., Application of negative binomial modeling for discrete outcomes: a case study in aging research. J Clin Epidemiol. 2003 Jun;56(6):559-64" to my data in which the response is count data. There are also 10 predictors that are count data, and I have also 3