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!
--
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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Question about SAEM
2 messages
2 people
Latest: Jun 20, 2014
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!
>
>
>
>
>
>
> --
>
> 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]
>
> ===============================
> The information in this email is confidential, and is intended solely for
> the addressee(s). Access to this email by anyone else is unauthorized and
> therefore prohibited. If you are not the intended recipient you are
> notified that disclosing, copying, distributing or taking any action in
> reliance on the contents of this information is strictly prohibited and may
> be unlawful. If you are not an addressee, please inform the sender
> immediately. Thanks a lot!
> ===============================
>
>
--
Bernard Ngara
Biostatistician
Africa Institute of Biomedical Science and Technology
P. O Box 2294
Harare
Zimbabwe
+263 772 160 896