Hi Alison,

Thanks for the confirmation that I wasn't missing something on my end. For this model, DEFOBS,DEFDOSE works, but I'll remember PCMT in case it's needed in the future.

Thanks,

Bill

On 5/1/2017 3:28 PM, Alison Boeckmann wrote:
Bill,
Here's how it looks to me right now.

I put together a little test case:
$INPUT      ID DOSE=AMT TIME CP=DV WT CMT EVID
$MODEL
COMP=(One,INITIALOFF,NODOSE)
COMP=(PKCENT)

I ran this with a data set in which CMT=2 for both dose and observation
records.
PREDPP gives me the same error message that you reported:
DATA REC    1: COMPARTMENT ASSOCIATED WITH THE PREDICTION IS OFF

NMTRAN makes the assignment of "Default for observations"
inappropriately:

COMPT. NO.   FUNCTION   INITIAL    ON/OFF      DOSE      DEFAULT
DEFAULT
                          STATUS     ALLOWED    ALLOWED    FOR DOSE   FOR OBS.
     1         ONE          OFF        YES        NO         NO         YES
     2         PKCENT       ON         YES        YES        YES        NO
     3         OUTPUT       OFF        YES        NO         NO         NO

The PCMT data item is needed with dose records to identify the
prediction compartment associated with the dose record, and, when PCMT
is not
defined, this is defaulting to "Default for observations," which is
compartment 1,
which is initially off.

The DEFAULT FOR OBS compartment should have the attribute "INITIAL ON".

Your fix is a good one (specify both DEFDOSE and DEFOBS).
Another fix is to supply the PCMT data item in the data set, and (in my
case) set PCMT=2

This is something that can be fixed with a future version of NONMEM (its
too late for 7.4).

-- Alison

On Mon, May 1, 2017, at 09:33 AM, Bill Denney wrote:
Hi,

I have a model with many compartments (42 different compartments
       are defined).  It is currently setup this way to future-proof the
       dataset in case we want to combine analyses of many drugs (about
       20 different drugs with central/peripheral compartments) and
       several endpoints.


In the current model, I'm only fitting the PK of one drug, so
       only two of the compartments are enabled:  compartments 39 and
       42.  After the IGNORE statement, the data is relatively small with
       400 records between 16 subjects, and all the data are in
       compartment 39 (the central compartment for the current drug).


CMT, EVID, and MDV (along with everything else) is correctly
       specified.  When I run the model with CMT 39 defined by:


COMP=(PKCENT)  ; 39 central PK compartment (ug/mL)

the model fails with the error "COMPARTMENT ASSOCIATED WITH THE
       PREDICTION IS OFF" noted for all the dosing rows, but when I
       specify that compartment 39 is the default observation and dose
       compartment (due to IV dosing), the model works.


COMP=(PKCENT,DEFOBS,DEFDOSE)  ; 39 central PK compartment (ug/mL)

I thought that when CMT and EVID are specified, DEFOBS and
       DEFDOSE are not important.


Does anyone know why adding DEFOBS and DEFDOSE fixed my model?

Thanks,

Bill

Human
           Predictions Logo[http://www.humanpredictions.com/]*William S.
           Denney, PhD*
  Chief Scientist, Human Predictions LLC
  +1-617-899-8123
  wden...@humanpredictions.com
This e-mail communication is
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--
   Alison Boeckmann
   alisonboeckm...@fastmail.fm


------------------------------------------------------------------------
Human Predictions Logo <http://www.humanpredictions.com>*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.

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