Pavel:
The objective function progress looks good.  You should expect some
Monte Carlo fluctuations.  You should also run more iterations (perhaps
NITER=200), and set CTYPE=3, which turns on the termination tester.  To
resume where you left off, rename your new control stream file, and put
in the following lines.
 
$EST METHOD=CHAIN NSAMPLE=0 ISAMPLE=50
FILE=my_old_control_stream_file.ext
$EST METHOD=IMP NITER=200 CTYPE=3 FILE=my_new_control_stream_file.ext
 
Make sure you are linear MU referencing to get the greatest efficiency.
 
 

Robert J. Bauer, Ph.D.
Vice President, Pharmacometrics
ICON Development Solutions 

Tel: (215) 616-6428
Mob: (925) 286-0769
Email: robert.ba...@iconplc.com
Web: www.icondevsolutions.com 

 

 

 


________________________________

From: owner-nmus...@globomaxnm.com [mailto:owner-nmus...@globomaxnm.com]
On Behalf Of non...@optonline.net
Sent: Saturday, October 24, 2009 8:03 PM
To: nmusers@globomaxnm.com
Subject: [NMusers] method=ITS, OPTIMIZATION NOT TESTED (?!)



Hello NONMEM Team,

I found method=imp useful when there are local maxima.  Nevertheless, at
the end of optimization it prints a message, which makes me feel
somewhat uncomfortable:  OPTIMIZATION NOT TESTED.  Also, the final
objective function is not always the lowest one.  An example is below.
How do we interpret the results in this case?  

 THETAS THAT ARE SIGMA-LIKE:
 MONITORING OF SEARCH:

 iteration            0 OBJ=    10625.663135214874     
 iteration            1 OBJ=    10601.188754983375     
 iteration            2 OBJ=    10537.895114114934     
 iteration            3 OBJ=    10471.674625518765     
 iteration            4 OBJ=    10430.297437731866     
 iteration            5 OBJ=    10461.973668565577     
 iteration            6 OBJ=    10462.638834406265     
 iteration            7 OBJ=    10423.464983371641     
 iteration            8 OBJ=    10417.959956991735     
 iteration            9 OBJ=    10417.594007447198     
 iteration           10 OBJ=    10414.708468642830     
 iteration           11 OBJ=    10427.810693855947     
 iteration           12 OBJ=    10412.889081059604     
 iteration           13 OBJ=    10411.980622268416     
 iteration           14 OBJ=    10424.501127174915     
 iteration           15 OBJ=    10416.332869468861     
 iteration           16 OBJ=    10416.622580251338     
 iteration           17 OBJ=    10412.401585537709     
 iteration           18 OBJ=    10415.117257355550     
 iteration           19 OBJ=    10415.302370961055     
 iteration           20 OBJ=    10409.066188189252     
 iteration           21 OBJ=    10413.780620468329     
 iteration           22 OBJ=    10410.787496174480     
 iteration           23 OBJ=    10410.633582415931     
 iteration           24 OBJ=    10409.970257443048     
 iteration           25 OBJ=    10409.702420124611     
 iteration           26 OBJ=    10409.213115058612     
 iteration           27 OBJ=    10409.690639357370     
 iteration           28 OBJ=    10410.016047785200     
 iteration           29 OBJ=    10408.157468814226     
 iteration           30 OBJ=    10407.779614704938     
 iteration           31 OBJ=    10410.164563157052     
 iteration           32 OBJ=    10408.364552302961     
 iteration           33 OBJ=    10407.431920727997     
 iteration           34 OBJ=    10408.286189641487     
 iteration           35 OBJ=    10407.907347050501     
 iteration           36 OBJ=    10407.451608770069     
 iteration           37 OBJ=    10407.189482360372     
 iteration           38 OBJ=    10406.484357336147     
 iteration           39 OBJ=    10409.167125968375     
 iteration           40 OBJ=    10406.840873883246     
 iteration           41 OBJ=    10407.679485561714     
 iteration           42 OBJ=    10405.341101045238     
 iteration           43 OBJ=    10404.704382334516     
 iteration           44 OBJ=    10405.348023082915     
 iteration           45 OBJ=    10405.347406984720     
 iteration           46 OBJ=    10401.873473651774     
 iteration           47 OBJ=    10404.036204419035     
 iteration           48 OBJ=    10405.072916975221     
 iteration           49 OBJ=    10402.976628923887     
 Elapsed estimation time in seconds: 30420.73
 iteration           50 OBJ=    10403.285958168881     

 #TERM:
 OPTIMIZATION NOT TESTED

Thanks,

Pavel

 

 

 

 


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