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From |
Derek Darves <darves@darkwing.uoregon.edu> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: HLM using gllamm |

Date |
Wed, 4 Dec 2002 15:27:37 -0800 |

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

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