Re: LLR test, AIC, BIC
From: David Foster [mailto:david.foster@adelaide.edu.au]
Subject: Re: [NMusers] LLR test, AIC, BIC
Date: Thursday, October 23, 2003 1:44 AM
Dear all,
I seem to have stimulated a bit of discussion! However, a few of my
original points have been left out of the ensuing discussion . I
understand the limitations of LLR, AIC etc, but I still would like to be
able to calculate them, given that it doesn't really take much effort
(well, sort of...).
Here are my questions:
I have read a thread posted some time ago on this topic, but it raised a
ew questions for me.
If:
AIC= obj. fun + 2*NPAR
BIC= obj. fun + NPAR* log(NOBS)
As I understand, log(NOBS) is the natural log, and NOBS is the number of
data points -is this the number of concentration-time points or the number
of subjects?
To examine the impact of including a covariable (no eta, just a new
theta), I understand the use of the the LLR test etc just fine. But what
about, for example, going from a 1 compartment to a 2 compartment model
-there are new theta's and matching eta's.
***So my question is: does the "number of parameters (NPAR)" include
theta's, eta's and sigma's? This also has an impact on AIC and BIC
calculations as different results are obtained if one only counts
theta's...***
I have also seen a correction to the AIC:
AICc = obj. fun + 2*NPAR + (2*NPAR*(NPAR+1))/(NOBS-NPAR-1)
Does anyone use this, and does it also apply to the BIC?
Regards,
David
--
David Foster, PhD
NHMRC Research Officer
Department of Clinical and Experimental Pharmacology
Faculty of Health Sciences
The University of Adelaide
Adelaide, South Australia 5005
Tel: +61 08 8303 5985
Fax: +61 08 8224 0685
Email: david.foster@adelaide.edu.au
http://www.adelaide.edu.au/Pharm/index.htm
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