Hi all,
I think that Paul stumbled on a rather important issue. The SE of the residual
error may not be of primary interest, but the same as discussed under this
thread also applies to the standard error of omega. (I changed the name of the
subject since this thread now is about omega)
I
Khaled,
You seem need another parameter. KENZ cannot be both a creation and a
death rate for A(3) (i.e. [mg/h] and [1/h]). Also, it is confusing the
way you use both masses and concentrations in your interaction terms. Do
you intend CL24 to be L h-1 mg-1?
John
John C Lukas
Strategic
Hello Jakob,
I remember I developed code at one point to calculate a SE on a typical
clearance which was a function of four covariates..
The general method is to use formula incorporating partial derivatives with
respect to each parameter.
Hi Jakob,
The derivation for your expression comes from a first-order approximation of
the variance often referred to as the delta method in the statistical
literature. The approximation is:
Var(f(x)) ~= [f'(x)^2]Var(x) or equivalently, SE(f(x)) ~= f'(x)SE(x)
If we want SE(omega) but have the
Jakob
I am not sure that the formula that you present is correct:
sqrt(SE.OMEGAnn)/(2*sqrt(OMEGAnn))*100%
I think, you do not need to take sqrt(). This is what I would use
SE.OMEGAnn/(2*OMEGAnn)*100%
Note that your S-plus function also does not take a sqrt, so it could be
just a typo.
Dear All,
Thankyou to all that replied to my email concerning the combined mixed
residual model, and thanks to Leonid for the changes in the $ERROR code. I
have one final question regarding the reporting of the thetas and the
sigmas. Why, when you use thetas in the residual error structure