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From |
Cameron McIntosh <cnm100@hotmail.com> |

To |
STATA LIST <statalist@hsphsun2.harvard.edu> |

Subject |
RE: st: beta regression |

Date |
Tue, 25 Oct 2011 23:47:02 -0400 |

Yes, you can compute odds ratios if you are using the logit link. Zhao, L., Chen, Y., & Schaffner, D.W. (2001). Comparison of Logistic Regression and Linear Regression in Modeling Percentage Data. Applied and Environmental Microbiology, 67(5), 2129–2135. http://foodsci.rutgers.edu/schaffner/pdf%20files/Zhao%20AEM%202001.pdf Kieschnick, R., & McCullough, B.D. (2003). Regression analysis of variates observed on (0,1): percentages, proportions and fractions. Statistical Modelling, 3, 193-213. http://www.pages.drexel.edu/~bdm25/statmodelling.pdf Rocha, A.V., & Simas, A.B. (2010). Influence diagnostics in a general class of beta regression models. TEST, 20(1), 95-119. Paolino, P. (2001). Maximum likelihood estimation of models with beta-distributed dependent variables. Political Analysis, 9(4), 325-346.http://polmeth.wustl.edu/analysis/vol/9/WV008-Paolino.pdf Smithson, M., & Verkuilen, J. (2006). A better lemon squeezer? Maximum-likelihood regression with beta-distributed dependent variables. Psychological Methods, 11(1), 54-71. http://web.gc.cuny.edu/content/edpsychology/documents/Smithson%20and%20Verkuilen%202006.pdfSee SAS code at:http://psychology3.anu.edu.au/people/smithson/details/betareg/SAS_beta_regression.sas Ferrari, S.L.P., & Cribari-Neto, F. (2004). Beta regression for modelling rates and proportions. Journal of Applied Statistics, 31(7), 799-815. Cam > Date: Tue, 25 Oct 2011 23:33:14 -0400 > Subject: st: beta regression > From: lsj555@gmail.com > To: statalist@hsphsun2.harvard.edu > > Hi, I have a question about interpreting beta regression for > proportion/ratio outcomes. Do we need to exponentiate the estimated > coefficients, and interpret the exp(B) as changes in odds ratio (of > having what value?) or as changes in the outcome measured as > proportion/ratio? > > For the estimated value in the margins in the post-estimation > function, do we interpret the ouptut as the predicted proportion or > probability? Thank you. > * > * 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/

**References**:**st: beta regression***From:*Jet <lsj555@gmail.com>

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