RE: Weighting in NONMEM
From: "Bill Bachman" bachmanw@comcast.net
Subject: RE: [NMusers] Weighting in NONMEM
Date: Thu, 20 Apr 2006 08:02:06 -0400
As Pascal suggests, weighting is accomplished in NONMEM via the variance model that
you code in your model. This is the real attraction of maximum likelihood methods, rather
than choosing an arbitrary empirical weighting scheme, the variance parameters are fitted in
the regression and the weighting is then done via the theoretically correct method the
inverse of the variance. (Of course assumes that you have used an appropriate variance
model via the modeling process).
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