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From |
S.Rabe-Hesketh@iop.kcl.ac.uk |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: HLM using gllamm |

Date |
Thu, 05 Dec 2002 10:17:27 +0000 |

Hi Derek Darves, the level 1 variance should be given immediately under the table for the regression coefficients under the heading Variance at level 1 --------------------- before the variances of the random effects. If you want a random intercept and a random slope for a covariate x, you can use the commands gen cons=1 eq inter: cons eq slope: x gllamm y x, i(id) eqs(inter slope) ... You may find the Stata textbook examples at the UCLA Academic Technology Services webpage useful: e.g. http://www.ats.ucla.edu/stat/stata/examples/mlm_imm/immch3.htm These can also be accessed via the gllamm webpage - see 'worked examples': http://www.iop.kcl.ac.uk/IoP/Departments/BioComp/programs/gllamm.html Best wishes, Sophia I am trying to replicate some models in run SAS with proc mixed using the gllamm command in Stata. At the moment, I cannot get gllamm to print the level 1 and level 2 random effects estimates, i.e. what SAS refers to as the "Covariance Parameter Estimates" in its output. Thus far, gllamm reports the following output for the random effects: ***level 2 (site9) var(1): .598095 (.06353876) , which I presume is for the level 2, intercept variance. How can I also get an estimate for the level 1 residual variance, which I would like in order to compare the amount of variance to be explained at each level (in the intercept-only model). Also, can someone please explain how the eq command operates in gllamm? In corresponding with the author of gllamm, I have learned that in order to allow the intercept to vary I must first create a constant and link it using the eq function. How do you accomplish the same when, for example, you'd like one of the slopes to vary randomly? Thanks, Derek Darves * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

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