Re: Markov model dataset

From: Ahmed Suleiman Date: February 08, 2016 technical Source: mail-archive.com
Hi Achim, After some quick testing, and for some reason (which I am not aware of), if a compartment (e.g. a PK compartment) is added before these adverse events compartments, then it works fine. I would be also interested to know why. Best regards, Ahmed Suleiman
Quoted reply history
On Mon, Feb 8, 2016 at 8:22 AM, Achim Fritsch <[email protected]> wrote: > Dear all, > > > > I am currently trying to model the transitions from CTCAE grade 0 - 3 (4 > states) for several > > toxicities using a markov approach in Nonmem. > > However, I am facing some problems with the data set, which I cannot solve > by myself. > > > > The set looks like this: > > > > C > > ID > > TIME > > DOSE > > DV > > EVID > > CMT > > AMT > > MDV > > 0 > > 1 > > 0 > > 0 > > 0 > > 1 > > 1 > > 1 > > 1 > > 0 > > 1 > > 1 > > 50 > > 1 > > 0 > > 1 > > 0 > > 0 > > 0 > > 1 > > 1 > > 50 > > 0 > > 2 > > -1 > > 0 > > 1 > > 0 > > 1 > > 1 > > 50 > > 0 > > 2 > > -2 > > 0 > > 1 > > 0 > > 1 > > 1 > > 50 > > 0 > > 2 > > -3 > > 0 > > 1 > > 0 > > 1 > > 1 > > 50 > > 0 > > 2 > > -4 > > 0 > > 1 > > 0 > > 1 > > 1 > > 50 > > 0 > > 1 > > 1 > > 1 > > 1 > > 0 > > 1 > > 1 > > 50 > > 0 > > 2 > > 2 > > 0 > > 1 > > 0 > > 1 > > 1 > > 50 > > 0 > > 2 > > 3 > > 0 > > 1 > > 0 > > 1 > > 1 > > 50 > > 0 > > 2 > > 4 > > 0 > > 1 > > > > To implement the markov property the compartments are emptied and > initialized after each observation. > > When I try to execute the model I get the following error message for > every record where the compartment without > > a previous observation is emptied : > > > > COMPARTMENT ASSOCIATED WITH THE PREDICTION IS OFF > > > > In the example above this error refers to record 4 - 6. > > > > When I remove these records the model works, but then I am violating the > markovian assumption, if I am not mistaken. > > > > Am I missing something important? Any help is highly appreciated! > > > > Here are the relevant parts of the control file: > > > > $DES > > > > K01_F = K01 * EXP(-GAM*T) + DOSE*SLP > > K02_F = K02 * EXP(-GAM*T) + DOSE*SLP > > K03_F = K03 * EXP(-GAM*T) + DOSE*SLP > > K12_F = K12 * EXP(-GAM*T) + DOSE*SLP > > K23_F = K23 * EXP(-GAM*T) + DOSE*SLP > > > > KB10 = KB * EXP(-BA*DOSE) > > KB21 = KB * EXP(-BA*DOSE) > > KB32 = KB * EXP(-BA*DOSE) > > KB20 = KB * EXP(-BA*DOSE) > > KB30 = KB * EXP(-BA*DOSE) > > > > DADT(1) = A(2)*KB10 + A(3)*KB20 + A(4)*KB30 - A(1) * (K01_F + K02_F + > K03_F) ; No grade > > DADT(2) = A(1)*K01_F - A(2) * (K12_F + > KB10) ; Grade 1 > > DADT(3) = A(2)*K12_F + A(1)*K02_F - A(3) * (K23_F + KB21 + > KB20) ; Grade 2 > > DADT(4) = A(3)*K23_F + A(1)*K03_F - A(4) * (KB32 + KB30) > ; Grade 3 > > > > $ERROR > > > > PB0 = A(1) > > PB1 = A(2) > > PB2 = A(3) > > PB3 = A(4) > > > > Y = 1 > > IF(DV.EQ.1.AND.CMT.EQ.1) Y = A(1) > > IF(DV.EQ.1.AND.CMT.EQ.2) Y = A(2) > > IF(DV.EQ.1.AND.CMT.EQ.3) Y = A(3) > > IF(DV.EQ.1.AND.CMT.EQ.4) Y = A(4) > > > > $ESTIMATION SIG=3 MAXEVAL=9999 PRINT=1 METHOD=1 LAPLACIAN LIKE NOABORT > > > > > > > > Thank you very much in advance! > > > > Kind regards > > > > > > > > ____________________ > > *Achim Fritsch* > > Pharmacist > > > > Klinische Pharmazie > > Pharmazeutisches Institut > > Universität Bonn > > An der Immenburg 4 > > 53121 Bonn > > > > Tel.: 0228 / 73 5229 > > Fax.: 0228 / 73 9757 > > > > [email protected] > > > > >
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