RE: [NMusers] CMT Remapping

2018-01-23 Thread Bill Denney
Hi Leonid,

Thanks, you're right that I'm making it more complicated than needed.  I
like the CMT1, CMT2, ... CMTALL solution.

Related to my other post this afternoon with $ABBR, I'm trying to minimize
parameter name recoding, too.

Thanks,

Bill

-Original Message-
From: Leonid Gibiansky [mailto:lgibian...@quantpharm.com]
Sent: Tuesday, January 23, 2018 5:46 PM
To: Bill Denney <wden...@humanpredictions.com>; nmusers@globomaxnm.com
Subject: Re: [NMusers] CMT Remapping

Hi Bill,

I do not think this is possible, but you are making things more complicated
than needed. You can slice the data set as needed using IGNORE/ACCEPT
options. For analytical ADVAN models, you often do not need CMT item, and if
needed, you can introduce extra columns CMT1, CMT2, CMT3, and CMT4, for each
of the 4 drugs, and CMTALL for the combined model. So the only thing that
would be needed is to re-code parameter names and theta-eta-eps indices when
you combine 4 models in one. This step would be needed any way.

Best
Leonid




On 1/23/2018 2:26 PM, Bill Denney wrote:
> Hi,
>
> In a follow-up to the previous email, I’m still working on the same
> model where I need to track 4 drugs simultaneously.
>
> For this, I’m working from a single data file, and my initial modeling
> is drug 1 (first control stream), drug 2 (second control stream), drug
> 3 (third control stream), drug 4 (fourth control stream).  As I
> progress through modeling, I intend to combine to a single control
> stream with all 4 drugs.
>
> I’d like to be able to speed up my modeling by taking advantage of the
> algebraic ADVAN/TRANS combinations while feasible, but I would also
> like to keep working within the same data file.  Is there any method
> to remap compartment numbers in a model file to an ADVAN-expected
> compartment?
> I’d like to do something like the following (which doesn’t work):
>
> $SUBROUTINES ADVAN4 TRANS4 CMTMAP=6,11,12,13
>
> Where CMTMAP would remap compartment number 6=1, 11=2, 12=3, and 13=4
> for the expected ADVAN numbering.
>
> Thanks,
>
> Bill
>
> --
> --
>
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> <http://www.humanpredictions.com/><http://www.humanpredictions.com>*Wi
> lliam
> S. Denney, PhD*
> Chief Scientist, Human Predictions LLC
> +1-617-899-8123
> wden...@humanpredictions.com <mailto:wden...@humanpredictions.com>
>
> This e-mail communication is confidential and is intended only for the
> individual(s) or entity named above and others who have been
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> Thank you.
>



Re: [NMusers] CMT Remapping

2018-01-23 Thread Leonid Gibiansky

Hi Bill,

I do not think this is possible, but you are making things more 
complicated than needed. You can slice the data set as needed using 
IGNORE/ACCEPT options. For analytical ADVAN models, you often do not 
need CMT item, and if needed, you can introduce extra columns CMT1, 
CMT2, CMT3, and CMT4, for each of the 4 drugs, and CMTALL for the 
combined model. So the only thing that would be needed is to re-code 
parameter names and theta-eta-eps indices when you combine 4 models in 
one. This step would be needed any way.


Best
Leonid




On 1/23/2018 2:26 PM, Bill Denney wrote:

Hi,

In a follow-up to the previous email, I’m still working on the same 
model where I need to track 4 drugs simultaneously.


For this, I’m working from a single data file, and my initial modeling 
is drug 1 (first control stream), drug 2 (second control stream), drug 3 
(third control stream), drug 4 (fourth control stream).  As I progress 
through modeling, I intend to combine to a single control stream with 
all 4 drugs.


I’d like to be able to speed up my modeling by taking advantage of the 
algebraic ADVAN/TRANS combinations while feasible, but I would also like 
to keep working within the same data file.  Is there any method to remap 
compartment numbers in a model file to an ADVAN-expected compartment?  
I’d like to do something like the following (which doesn’t work):


$SUBROUTINES ADVAN4 TRANS4 CMTMAP=6,11,12,13

Where CMTMAP would remap compartment number 6=1, 11=2, 12=3, and 13=4 
for the expected ADVAN numbering.


Thanks,

Bill



Human Predictions Logo 
*William 
S. Denney, PhD*

Chief Scientist, Human Predictions LLC
+1-617-899-8123
wden...@humanpredictions.com 

This e-mail communication is confidential and is intended only for the 
individual(s) or entity named above and others who have been 
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recipient, please do not read, copy, use or disclose the contents of 
this communication to others. Please notify the sender that you have 
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Thank you.






[NMusers] CMT Remapping

2018-01-23 Thread Bill Denney
Hi,



In a follow-up to the previous email, I’m still working on the same model
where I need to track 4 drugs simultaneously.



For this, I’m working from a single data file, and my initial modeling is
drug 1 (first control stream), drug 2 (second control stream), drug 3
(third control stream), drug 4 (fourth control stream).  As I progress
through modeling, I intend to combine to a single control stream with all 4
drugs.



I’d like to be able to speed up my modeling by taking advantage of the
algebraic ADVAN/TRANS combinations while feasible, but I would also like to
keep working within the same data file.  Is there any method to remap
compartment numbers in a model file to an ADVAN-expected compartment?  I’d
like to do something like the following (which doesn’t work):



$SUBROUTINES ADVAN4 TRANS4 CMTMAP=6,11,12,13



Where CMTMAP would remap compartment number 6=1, 11=2, 12=3, and 13=4 for
the expected ADVAN numbering.



Thanks,



Bill


--

[image: Human Predictions Logo]
 *William
S. Denney, PhD*
Chief Scientist, Human Predictions LLC
+1-617-899-8123
wden...@humanpredictions.com

This e-mail communication is confidential and is intended only for the
individual(s) or entity named above and others who have been specifically
authorized to receive it. If you are not the intended recipient, please do
not read, copy, use or disclose the contents of this communication to
others. Please notify the sender that you have received this e-mail in
error by replying to the e-mail or by calling +1-617-899-8123. Please then
delete the e-mail and any copies of it. Thank you.