There are many possible data record error messages.  What was the
specific error message?

________________________________

From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On Behalf Of Yuyan Jin
Sent: Tuesday, May 27, 2008 10:53 AM
To: [email protected]
Subject: [NMusers] multiple dose with unequal dosing intervals


 
Hi All,
I am trying to analyze a multiple dose oral PK data (with unequal dosing
intervals) using NONMEM. second dose is given 48 hrs after the first
dose and after that the drug is given on 12 hr dosing interval over 14
days. There are 8 sampling points available in first 48 h and then one
trough sample is available after 7 days, and following last dose, 8 data
points are available for next 24 h. 
 
the following is a representative of my data set 
 
#ID      TIME    DV      AMT     ADDL    II      MDV    
102      0       0       60      0       48      1      
102      0.5     205     0       0       0       0      
102      1       305     0       0       0       0      
102      2       283     0       0       0       0      
102      4       134     0       0       0       0      
102      6       78.8    0       0       0       0      
102      8       51.5    0       0       0       0      
102      12      17.6    0       0       0       0      
102      24      2.16    0       0       0       0      
102      48      0       60      30      12      1      
102      192     704     0       0       0       0      
102      360     585     0       0       0       0      
102      360.5   782     0       0       0       0      
102      361     1070    0       0       0       0      
102      362     1460    0       0       0       0      
102      364     1270    0       0       0       0      
102      366     965     0       0       0       0      
102      368     652     0       0       0       0      
102      372     433     0       0       0       0      

my model is not runing due to data record error message,  Can anybody
please help me setting up the data file?
Any inputs will be appreciated.
 
Thanks a lot,
Yuyan
graduate student 
 

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