Re: Question about SAEM
Parameter estimation algorithms are different in their assumptions
(statistical) hence are bound to differ in terms of power of test. So
you will find some algorithms performing above par depending on the
study design (rich/sparse-missingness of data). Comparing results
from different algorithms can always be done in modelling and used as
a model validation/confirmation tool hence reduce estimation bias.
Regards
Bernard
Quoted reply history
On 6/20/14, chenjia8599 <[email protected]> wrote:
> Dear all NMusers:
> I have some questions about SAEM when I read some papers:
> 1、How can I perform a SAEM algorithm in NM?
> 2、what's the meaning of "mu-modeling"?
> 3、Some articles use two different algorithms to calculation the typical
> value to examine the effect of the estimation algorithm on parameter bias,
> for example FOCE and SAEM. In population approach, is it necessary to do it?
> When does the comparison must be done?
>
> Thanks a lot!
>
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>
> --
>
> Jia Chen
> PhD Candidate
> Phase I Unit
> Clinical Pharmacology Research Center
> Peking Union Medical College Hospital
> Tel: 86-10-88068359
> Cellphone: 86-13488832594
> Email:[email protected]
>
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Bernard Ngara
Biostatistician
Africa Institute of Biomedical Science and Technology
P. O Box 2294
Harare
Zimbabwe
+263 772 160 896