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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? > >> > > > > > > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ > * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

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