--- 09年11月26日,周四, Nick Holford <[email protected]> 写道:

发件人: Nick Holford <[email protected]>
主题: Re: [NMusers] Structural model in NONMEM!
收件人: "ke fang" <[email protected]>
日期: 2009年11月26日,周四,上午2:16




  

 
Fang Ke,



Here is an example.  The $PRED code lets you work directly with any
model you want to write.



$PROB

$DATA mydata

$INPUT ID X

$EST METHOD=CONDITIONAL LAPLACE

$THETA

1 ; A

2 ; B

$OMEGA

0.5 ; ETA_A

0.5 ; ETA_B

$SIGMA

1 ; EPS

$PRED

Y=THETA(1)+ETA(1) + (THETA(2)+ETA(2))*X + EPS(1)



ke fang wrote:

  
    
      
        Dear all!
        

        
          I have a question about structural model in NONMEM! Can
NONMEM deal with linear structural model like y=a+b*x? If it will do,
how the code should be prepared?
          Thanks in advance!
        

        
        

        
        Fang ke
        
      
    
  
  

  
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-- 
Nick Holford, Professor Clinical Pharmacology
Dept Pharmacology & Clinical Pharmacology
University of Auckland,85 Park Rd,Private Bag 92019,Auckland,New Zealand
tel:+64(9)923-6730 fax:+64(9)373-7090 mobile:+64(21)46 23 53
email: [email protected]
http://www.fmhs.auckland.ac.nz/sms/pharmacology/holford

Dear Nick and Zhao,

Thanks to your reply.I'm now using WFN to implement a bootstrap analysis. I 
followed the instruction on this web page 
http://wfn.sourceforge.net/wfnbs..htm. But the result txt file did not show the 
THETAs and ETAs and other estimates. I tried the debugging run and found the 
result can be obtained in each run. Do i miss some statements in control stream 
to cause the problem? Here is control stream i wrote:
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
$PROB
$DATA nmsamp.dat IGNORE=@
$INPUT ID OLD=DROP
TIME CONC=DV PPM WT DOSE AMT 
$THETA
5 ; A
0.00232 ; B
0.2;C
$OMEGA
0.142 ; ETA_A
0.306 ; ETA_B

$SIGMA
1 ; EPS
$PRED

Y=(THETA(1)+ETA(1)+AMT*THETA(3))- (THETA(2)*exp(ETA(2)))*TIME+ EPS(1)
$ESTIMATION METHOD=1 MAXEVAL=9999 PRINT=5 POSTHOC
$COVARIANCE
$TABLE ID TIME CONC WT DOSE AMT ETA1 ETA2
NOPRINT ONEHEADER FILE=test.FIT
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

And here is the bootstrap analysis result txt file content:

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
#Rep    Obj     Min     Cov     Eval    Sig     Sub     Obs     A       B       
C       ETA_A   ETA_B   EPS     A:se    B:se    C:se    ETA_A:se        
ETA_B:se        EPS:se
1       -.9777E+01      MINIMIZATION_SUCCESSFUL_sys_0:0_        NONE    264     
3.7     32      32
2       -.1710E+02      MINIMIZATION_SUCCESSFUL_sys_0:0_        NONE    193     
3.1     32      32
3       -.2159E+02      MINIMIZATION_SUCCESSFUL_sys_0:0_        NONE    217     
3.3     32      32
4       -.9194E+01      MINIMIZATION_SUCCESSFUL_sys_0:0_        NONE    186     
3.9     32      32
5       -.9531E+01      MINIMIZATION_SUCCESSFUL_sys_0:0_        NONE    178     
3.8     32      32
6       -.1476E+01      MINIMIZATION_SUCCESSFUL_sys_0:0_        NONE    173     
3.1     32      32
7       -.5704E+01      MINIMIZATION_SUCCESSFUL_sys_0:0_        NONE    139     
3.6     32      32
8       -.2087E+02      MINIMIZATION_SUCCESSFUL_sys_0:0_        NONE    153     
3.1     32      32
9       -.1332E+02      MINIMIZATION_SUCCESSFUL_sys_0:0_        NONE    173     
3.9     32      32
10      -.1108E+02      MINIMIZATION_SUCCESSFUL_sys_0:0_        NONE    276     
3.2     32      32
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Ke, Fang


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