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From |
Jinseok Kim <praxis87@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: specifying factor variables in random-effects logistic regression model |

Date |
Fri, 21 Dec 2012 17:17:29 +0900 |

Hi listers, I am trying to estimate a logistic regression model with a random-effect (or random-slope) of a factor variable. I believe that the following stata command would do the trick for me: xtmelogit y i.x ||group: R.x where y be a binary dependent variable, x a categorical (factor) independent variable. I noticed that the stata output produced only one random effect, which was sd(R.x), but no sd(_cons) for a random intercept. Can any of you explain why there is no sd(_cons) for a random intercept in the model above? Also, please help me understand why the degree of freedom in the LR test vs. logistic regression results is one instead of (k-1), where k is the number of categories of the factor variable, x. Thanks. Jinseok Jinseok Kim, Ph.D., MSSW Assistant Professor Dept. of Social Welfare, Seoul Women's University Rm. #721, Insa-Kwan Bldg., 126 Kongneung 2-Dong, Nowon-Ku Seoul, Korea (139-774) Tel: +82-2-970-5540; Fax: +82-2-970-5965 e-mail: jskim@swu.ac.kr * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

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