Hi Bob, Leonid, and Mark,

 

Thanks for this interesting conversation!  I think that it explains some issues 
with models I’d not gotten to the bottom of in the past.

 

Bob, can these timeouts be raised to the user in the main output files?  Or 
even better, could the timeout be automatically raised up to some 
user-configurable fold above the default on timeout, and if it happens again, 
the model is stopped with a message “Parallel processing timeout, increase 
TIMEOUT in the .pnm file or troubleshoot lost calculation nodes.”

 

It seems like ignoring a subset of the data due to a timeout should not give 
results.

 

Thanks,

 

Bill 

 

From: [email protected] <[email protected]> On Behalf Of 
Bauer, Robert
Sent: Thursday, August 23, 2018 2:49 PM
To: Mark Sale <[email protected]>; Leonid Gibiansky 
<[email protected]>; [email protected]
Subject: RE: [NMusers] IMPMAP behavior question

 

Mark:

You would also likely see in the .phi file that the OBJ values may be 0 for 
those subjects not collected.

 

The solution is as Leonid said, increase TIMEOUT in the pnm file.

 

Robert J. Bauer, Ph.D.

Senior Director

Pharmacometrics R&D

ICON Early Phase

820 W. Diamond Avenue

Suite 100

Gaithersburg, MD 20878

Office: (215) 616-6428

Mobile: (925) 286-0769

 <mailto:[email protected]> [email protected]

 <http://www.iconplc.com/> www.iconplc.com

 

From: [email protected] <mailto:[email protected]>  
[mailto:[email protected]] On Behalf Of Mark Sale
Sent: Thursday, August 23, 2018 11:37 AM
To: Leonid Gibiansky; [email protected] <mailto:[email protected]> 
Subject: Re: [NMusers] IMPMAP behavior question

 

thanks Leonid,

I looked at that, and ossilation/sampling doesn't seem to be the issue, mean 
was 20804.0136597062, SD = 2.19872089635881.

And the OBJ is very stable in the minimzation part, up until the last 
iteration/covariance iteration.  

It was run parallel, and I guess that your comment about not waiting for all 
the workers concerns me. There is a timeout event in the log file:

ITERATION           70

 STARTING SUBJECTS          1 TO        8 ON MANAGER: OK

 STARTING SUBJECTS          9 TO       17 ON WORKER1: OK

 STARTING SUBJECTS         18 TO       32 ON WORKER2: OK

 STARTING SUBJECTS         33 TO       85 ON WORKER3: OK

 COLLECTING SUBJECTS        1 TO        8 ON MANAGER

 COLLECTING SUBJECTS       18 TO       32 ON WORKER2

 COLLECTING SUBJECTS        9 TO       17 ON WORKER1

 COLLECTING SUBJECTS       33 TO       85 ON WORKER3

 ITERATION           70

 STARTING SUBJECTS          1 TO        8 ON MANAGER: OK

 STARTING SUBJECTS          9 TO       17 ON WORKER1: OK

 STARTING SUBJECTS         18 TO       32 ON WORKER2: OK

 STARTING SUBJECTS         33 TO       85 ON WORKER3: OK

 COLLECTING SUBJECTS        1 TO        8 ON MANAGER

 TIMEOUT FROM WORKER1

 RESUBMITTING JOB TO LOCAL

 STARTING SUBJECTS          9 TO       17 ON MANAGER: OK

 COLLECTING SUBJECTS       18 TO       32 ON WORKER2

 

and no mention of collecting subjects 33 to 85 on worker 3, or subjects 9 to 17 
on worker 1.

 

so, that could be  the problem.

Bob - thoughts?

 

 

 

 

 

Mark Sale M.D.

Senior Vice President, Pharmacometrics

Nuventra Pharma Sciences, Inc.

2525 Meridian Parkway, Suite 200

Durham, NC 27713

Phone (919)-973-0383

[email protected] 

 

CONFIDENTIALITY NOTICE The information in this transmittal (including 
attachments, if any) may be privileged and confidential and is intended only 
for the recipient(s) listed above. Any review, use, disclosure, distribution or 
copying of this transmittal, in any form, is prohibited except by or on behalf 
of the intended recipient(s). If you have received this transmittal in error, 
please notify me immediately by reply email and destroy all copies of the 
transmittal.

  _____  

From: Leonid Gibiansky <[email protected] 
<mailto:[email protected]> >
Sent: Thursday, August 23, 2018 11:14:51 AM
To: Mark Sale; [email protected] <mailto:[email protected]> 
Subject: Re: [NMusers] IMPMAP behavior question 

 

Mark,

IMPMAP procedure produces run.cnv file. There you can find mean and SD 
of OF (over the last few iterations that were considered for convergence 
stop). I use these numbers for covariate assessment as 
iteration-to-iteration numbers oscillate and cannot be reliably compared.

Concerning the last iteration OF drop, cannot tell for sure but I've 
seen OF drops in some cases when the main manager do not wait for the 
slaves to return OF of their portion of the data. prn file has 
parameters TIMEOUTI and TIMEOUT, and I would try to increase them and 
see whether this fixes the problem

Thanks
Leonid




On 8/23/2018 1:54 PM, Mark Sale wrote:
> I have a model that seems to be behaving strangely, looking for 
> interpretation help
> 
> 
> in model building, the OBJ is usually ~20900. Until this model, where, on the 
> covariance step (IMPMAP method) the OBJ drops 9000  points (20798 to 11837), 
> monitoring from output file below
> 
> 
> 
> iteration           70 OBJ=   20798.6782833867 eff.=    5530. Smpl.=   10000. 
> Fit.= 0.99524
>   Convergence achieved
>   iteration           70 OBJ=   11837.9045704476 eff.=    5475. Smpl.=   
> 10000. Fit.= 0.99522
> 
> Parameters don't change much (edited .ext file below).
> 
> 50 1.35E+01 9.96E-01 4.42E-02 9.41E-01 3.05E+01 1.29E-01 20799.68932
> 60 1.35E+01 9.67E-01 4.45E-02 9.43E-01 3.05E+01 1.29E-01 20792.90665
> 70 1.35E+01 9.73E-01 4.44E-02 9.44E-01 3.05E+01 1.29E-01 20798.67828
> 70 1.35E+01 9.73E-01 4.44E-02 9.44E-01 3.05E+01 1.29E-01 11837.90457
> 
> 
> Plots don't look particularly different than other model (and look pretty 
> good), p values for ETAs are very reasonable, it converges, condition # is 
> good. Only two issues:
> RSE for 2 OMEGAs is a little large (0.5)
> an interoccasion variability term (on V) is very large (~4, exponential). 
> This is, I think, related to many subjects with data only at steady state.
> 
> Further, when I advance this model, add another covariate, or another IOV on 
> CL, to address the issue with SS data, cannot identify Volume uniquely (using 
> the final parameter from this model as the initial in the next model), I 
> cannot reproduce these results - the OBJ goes back to ~20,800, with 
> essentially the same parameter estimates. So I end up rejected all additional 
> covariates in this model  (at least by LRT).
> 
> 
> other details, running on Windows, 64 bit, Intel compiler, NONMEM version 7.3.
> 
> 
> Can I believe this OBJ value? Should I base an additional hypotheses on the 
> SEE, rather than the LRT?
> 
> But, basically, why is this happening?
> 
> thanks
> 
> 
> 
> Mark Sale M.D.
> Senior Vice President, Pharmacometrics
> Nuventra Pharma Sciences, Inc.
> 2525 Meridian Parkway, Suite 200
> Durham, NC 27713
> Phone (919)-973-0383
> [email protected] <mailto:[email protected]%[email protected]> 
> <[email protected]>
> 
> CONFIDENTIALITY NOTICE The information in this transmittal (including 
> attachments, if any) may be privileged and confidential and is intended only 
> for the recipient(s) listed above. Any review, use, disclosure, distribution 
> or copying of this transmittal, in any form, is prohibited except by or on 
> behalf of the intended recipient(s). If you have received this transmittal in 
> error, please notify me immediately by reply email and destroy all copies of 
> the transmittal.
> 
> 
> 



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