Estimates for Random effects
Dear All,
I am going through NONMEM manual 5 and I came across How to obtain initial
estimates for omega and sigma
In chapter 9 they mentioned the additive and ccv model but not about Log
Normal model.
For Additive
y =f +e
sigmay = sigma e= rt (r*t is the fraction of its typical value or mean*
typical value)
var(e) =se^2=(rt )^2 = (r*t) ^2
For CCV
y =f +f e
sy =f *se=r*t
var(e)=se^2= (rt)^ 2 /f^2
but if we identify t with the value of f (whatever it may be), we have
then
Var(e) = r^2 i.e the fraction of its typical value
How we have to estimate for Log normal model.
Thank you very much in advance for your feed back.
Regards,
Shankar Lanke Ph.D.
University at Buffalo
Office # 716-645-4853
Fax # 716-645-2886
Cell # 678-232-3567