The problem in fact might appear simple. I have an experiment with 3 different treatments (one of which is the control treatment). The response variable follows a negative binomial distribution.
The experiment was conducted at 6 different sites which gives us 6 replicates (n=6).
What I ultimately want to know is:
1. how much better is my treatment 1 and 2 when compared to the control.
2. is there a significant influence of the experimental sites.
I recoded my treatments and have set the control treatment to 0. My model then consists of my response and two explanatories (i) treatment and (ii) experimental site. With the gnbreg command I get coefficients for the 2 treatments and for 5 experimental sites (one site omitted). If I want to know whether experimental site as such is an important variable for the model, I need to check the model with and without the variable 'experimental sit'. Apparently the residual deviance D allows an answer to that question. How to do?
Cheers, felix
____________________________________________
Felix Heckendorn, Dr. Sci. ETHZ
Forschungsinstitut f�r Biologischen Landbau (FiBL)
FG Veterin�rparasitologie
Ackerstrasse
CH - 5070 Frick
www.fibl.org
-----Urspr�ngliche Nachricht-----
Von: [email protected] [mailto:[email protected]] Im Auftrag von Maarten buis
Gesendet: Dienstag, 1. Juli 2008 15:53
An: [email protected]
Betreff: Re: st: table of deviance after multiple regression!
--- Heckendorn Felix <[email protected]> wrote:
> After a negative binomial regression with 2 explanatory variables I
> want STATA to show the corresponding table of deviance. I really
> can't find the correct command. Can anybody help?
What do you mean with a table of deviance? The same concept often has
different names in different disciplines, and this term just sounds
like one of those concepts that has been reinvented and renamed many
many times. If you can describe what is supposed to be in this table
than people from other disciplines can also help you.
-- Maarten
-----------------------------------------
Maarten L. Buis
Department of Social Research Methodology
Vrije Universiteit Amsterdam
Boelelaan 1081
1081 HV Amsterdam
The Netherlands
visiting address:
Buitenveldertselaan 3 (Metropolitan), room Z434
+31 20 5986715
http://home.fsw.vu.nl/m.buis/
-----------------------------------------
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