RE: Weighting in NONMEM

From: William Bachman Date: April 20, 2006 technical Source: cognigencorp.com
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). _______________________________________________________
Apr 19, 2006 Patrick Zhou Weighting in NONMEM
Apr 20, 2006 Pascal Girard RE: Weighting in NONMEM
Apr 20, 2006 William Bachman RE: Weighting in NONMEM