standard error of variances and covariances of the random effects with LME
Doran, Harold wrote:
You cannot.
Yes. But when it is really needed, as the original poster said, what would be wrong with taking the length of a 95% confidence interval and dividing into 4? (of course it will be wrong, but so much as to be useless?) Kjetil Also, it's not that the distribution of the random effects
is not symmetric, but that it *may* not be symmetric, and this is an assumption that should be checked. -----Original Message----- From: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Roel de Jong Sent: Thursday, September 29, 2005 9:20 AM To: r-help at stat.math.ethz.ch Subject: [R] standard error of variances and covariances of the random effects with LME Hello, how do I obtain standard errors of variances and covariances of the random effects with LME comparable to those of for example MlWin? I know you shouldn't use them because the distribution of the estimator isn't symmetric blablabla, but I need a measure of the variance of those estimates for pooling my multiple imputation results. Regards, Roel.
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