Guidence regarding scm
Dear NM Users,
I have developed a model and want to perform SCM by using CRCL, AGE and WT
as continuous covariates and SEX as categorical covariate on CL, V1 and V2.
Below is my control stream which I wrote for running the model. Can someone
guide me is it Ok to use this control stream for performing stepwise
covariate modelling. If there is mistake (which I hope there is with TVV1 =
THETA(2) * WT and TVV2 = THETA(3) * WT) then how can I resolve this problem
because when I omit influence of WT on V1 and V2 in model the results are
worrisome.
$PROBLEM PK
$INPUT ID TIME DV AMT CMT MDV EVID WT CRCL AGE SEX
$DATA Vanco_016_iv_1.csv IGNORE=@
$SUBROUTINES ADVAN3 TRANS4
$PK
TVCL = THETA(1) * (1+THETA(6)*CRCL)
TVV1 = THETA(2) * WT
TVV2 = THETA(3) * WT
TVQ = THETA(4)
CL = TVCL*EXP(ETA(1))
V1 = TVV1
V2 = TVV2
Q = TVQ
S1 = V1
$ERROR
IPRED = F
W=F*THETA(5)
IRES=DV-IPRED
IWRES=IRES/W
Y=F+W*EPS(1) ; Combined residual random error
$THETA
(0,0.5,7) ; CL
(0,0.3,0.9) ; V1
0.732 FIX ; V2
0.5 ; Q
(0,0.44) ; Proportional error
0.01 FIX ; Proportional change in CL
$OMEGA
0.07 ; IIV CL
$SIGMA 1 FIX
$EST SIG=4 MAX=9999 PRINT=5 NOABORT METHOD=1 INTER MSFO=MSFB1
$TABLE ID TIME DV AMT CMT MDV EVID WT CRCL AGE SEX IPRED IWRES ETA1 CWRES
PRED
NOPRINT ONEHEADER NOAPPEND FILE= mytab3 ;Xpose
$COV
Best regards
--
*Muhammad Usman*
PhD Scholar
Westfälische Wilhelms-Universität Münster
Institut für Pharmazeutische und Medizinische Chemie
- Klinische Pharmazie -
Corrensstrasse 48
48149 Münster
Room No. A120.209
Phone: +49 251/8332171
Mob # +49 176 70962067