RE: covariates

From: Leonid Gibiansky Date: September 20, 2004 technical Source: cognigencorp.com
From: "Leonid Gibiansky" leonidg@metrumrg.com Subject: RE: [NMusers] covariates Date: Mon, September 20, 2004 5:28 am Renee, Something in not correct with the implementation of the first approach. You can try to re-run it with the initial values of the power parameters equal to the ones from the allometric scaling (0.75, -0.25 or 1). Then you should have the same results as for the allometric model to better (in terms of OF). If you start from the small values (around zero) then you should have results as good as for the base model or better. Meanwhile, I rerun my latest project following Nick suggestion (with allometric scaling on all parameters). It gave slightly higher OF (15 points for FOCE) and similar CVs as my model with LBW on 3 parameters. The fit was good, and I think by adding BMI or something similar I should be able to improve it further. So I benefited from this discussion as well, thanks, Nick Leonid
Sep 15, 2004 Renee Ying Hong covariates
Sep 15, 2004 Nick Holford RE: covariates
Sep 16, 2004 Renee Ying Hong RE: covariates
Sep 16, 2004 Nick Holford RE: covariates
Sep 16, 2004 Immanuel Freedman RE: covariates
Sep 16, 2004 Leonid Gibiansky RE: covariates
Sep 16, 2004 Nick Holford RE: covariates
Sep 16, 2004 Nick Holford RE: covariates
Sep 17, 2004 Leonid Gibiansky RE: covariates
Sep 17, 2004 Nick Holford RE: covariates
Sep 17, 2004 Ying Hong RE: covariates
Sep 17, 2004 Leonid Gibiansky RE: covariates
Sep 17, 2004 Nick Holford RE: covariates
Sep 17, 2004 Leonid Gibiansky RE: covariates
Sep 18, 2004 Nick Holford RE: covariates
Sep 20, 2004 Renee Ying Hong RE: covariates
Sep 20, 2004 Leonid Gibiansky RE: covariates
Sep 20, 2004 Nick Holford RE: covariates