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Re: st: Negative binomial regression (nbreg): Plot an interaction effect of two continuous/interval variables


From   S Statistic <statalistrequest@googlemail.com>
To   statalist@hsphsun2.harvard.edu, hilbe@asu.edu
Subject   Re: st: Negative binomial regression (nbreg): Plot an interaction effect of two continuous/interval variables
Date   Sun, 11 Sep 2011 19:51:29 +0200

Hi Cam, hi Joseph,

thanks for your very helpful references and comments!

I will go through the papers within the next days.

@Joseph: thanks for your really great offer, getting the
chapter/Appendix would be extremely helpful!
The adress is: statalistrequest@googlemail.com

Best regards,
Fred


2011/9/11  <jhilbe@aol.com>:
> I have 10 page Appendix on constructing and interpreting interactions for
> count models in my recent book,
> "Negative Binomial Regression, 2nd edition" (2011, Cambridge University
> Press) and a complete 53 page chapter
> on constructing, graphing, and interpreting interactions for logistic models
> in my "Logistic Regression Models"
> (2009, Chapman & Hall/CRC). I use Long and Freese's methods, and others, for
> graphing.
>
> If you would like, I'll send you a PDF of the Appendix on Interactions and
> include a separate secton from the LRM book  on constructing a graph for
> this type of interaction. All of the code for constructing interactions and
> graphics in both Stata and R  is made available in both books. Let me know
> by sending me an email at --hilbe@asu.edu-- and I'll get it off to you.
>
> Joseph Hilbe
>
> -------------------------------------------------------------------------
> -------------------------------------------------------
> Hilbe, Joseph M (2011), Negative Binomial Regression, 2nd edition, Cambridge
> University Press
>     http://www.stata.com/bookstore/nbr.html
> Hilbe, Joseph M (2009), Logistic Regression Models, Chapman & Hall/CRC
>     http://www.stata.com/bookstore/lrm.html
> Hardin, JW and JM Hilbe (2003), Generalized Estimating Equations, Chapman &
> Hall/CRC
>     http://www.stata-press.com/books/gee.html
> Hardin, JW and JM Hilbe (2007), Generalized Linear Models and Extensions,
> 2nd ed, Stata Press
>     http://www.stata-press.com/books/glmext.html
> Muenchen, RA and JM Hilbe (2010), R for Stata Users, Springer
>
>  http://www.springer.com/statistics/computanional+statistics/book/978-1-4419-1317-3
> -------------------------------------------------------------------------
> --------------------------------------------------------
>
>
>
> Date: Sat, 10 Sep 2011 12:06:27 -0400
> From: Cameron McIntosh <cnm100@hotmail.com>
> Subject: RE: st: Negative binomial regression (nbreg): Plot an interaction
> effect of two continuous/interval variables
>
> Fred,
>
> I don't know if -1SD and +1SD are always the best values to use. I would
> recommend also trying a range of more "interesting/meaningful" values of
> your
> moderator to generate predicted probabilities for plotting. You should also
> take a look at these papers:
>
> Buis, M.L. (2010). Stata tip 87: Interpretation of interactions in
> non-linear models. The Stata Journal, 10(2), 305-308.
>
> Norton, E.C., Wang, H., & Ai, C. (2004). Computing interaction effects and
> standard errors in logit and probit models. The Stata Joumal, 4(2),
> 154-167.http://www.unc.edu/~enorton/NortonWangAi.pdf
>
> Ai, C., & Norton, E. C. (2003). Interaction terms in logit and probit
> models. Economic Letters, 80, 123-129.
>
> Hayes, A.F., & Matthes, J. (2009). Computational procedures for probing
> interactions in OLS and logistic regression: SPSS and SAS implementations.
> Behavior Research Methods, 41,
> 924-936.?http://www.personal.psu.edu/jxb14/M554/articles/Hayes&Matthes200
> 9.pdf
>
> Francoeur, R.B. (2011). Interpreting interactions of ordinal or continuous
> variables in moderated regression using the zero slope comparison: tutorial,
> new
> extensions, and cancer symptom applications.International Journal of Society
> Systems Science, 3(1/2), 137-158.
>
> Cam
>
>> Date: Sat, 10 Sep 2011 17:35:53 +0200
>> Subject: st: Negative binomial regression (nbreg): Plot an
>
> interaction effect
> of two continuous/interval variables
>>
>> From: statalistrequest@googlemail.com
>> To: statalist@hsphsun2.harvard.edu
>>
>> Dear users of statalist,
>>
>> I have a nbreg model containing 3 continuous variables and one
>
> interaction
>>
>> effect of two of these variables.
>>
>> How can I get a judicious plot of the interaction effect? A common
>
> method
>>
>> for plotting interactions effets in general is a graph, where one uses
>> predications for -SD Mean +SD of both variables.
>>
>> How can I do that or another valuable plot in stata for nbreg? Or how
>
> can I
>>
>> use prvalue to calculate the needed values to put these data somehow
>
> in excel?
>
>>
>
>
>
>
>
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>

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