RE: Model estimates based on 1 sample per subject

From: Guzy Date: August 19, 2003 technical Source: cognigencorp.com
From: GUZY@xoma.com Subject: RE: [NMusers] Model estimates based on 1 sample per subject Date: 8/19/2003 5:55 PM If you have a good idea about the assay errors, you can assume fixed intra-individual variance parameters (let say for example 15% CV) and then perform a population fit. I did it many times with our MCPEM (Monte-Carlo Parametric Expectation Maximization) algorithm which optimize the same objective function as NONMEM (FOCE with interaction). If you are interested I could get the data and try our software to retrieve both fixed and random effects. Serge
Aug 19, 2003 Tgordi Model estimates based on 1 sample per subject
Aug 19, 2003 Guzy RE: Model estimates based on 1 sample per subject
Aug 19, 2003 Tgordi RE: Model estimates based on 1 sample per subject
Aug 19, 2003 Leonid Gibiansky RE: Model estimates based on 1 sample per subject
Aug 19, 2003 Guzy RE: Model estimates based on 1 sample per subject
Aug 19, 2003 Guzy RE: Model estimates based on 1 sample per subject
Aug 19, 2003 Tgordi RE: Model estimates based on 1 sample per subject
Aug 20, 2003 Ekaterina Gibiansky RE: Model estimates based on 1 sample per subject