Continuous Time Markov Model Data Structure

From: Jay Wen Date: August 10, 2021 technical Source: mail-archive.com
Dear All, I am currently working on a continuous time Markov Model to use drug concentration as exposure to predict the toxicity (categorical outcome). The dataset preparation and control stream is developed based on Lu et al *CPT *2020 (PMID: 31877239 https://www.ncbi.nlm.nih.gov/pubmed/31877239) as it is somewhat easier to construct the dataset compared to Schindler et al AAPS 2017 (PMID: 28634883 https://pubmed.ncbi.nlm.nih.gov/28634883/) or Lacroix et al* CPT* 2009 (PMID: 19626001 https://pubmed.ncbi.nlm.nih.gov/19626001/). The dataset is structured as following: ID TIME AMT EVID DV MDV CMT 1 1 . 0 1 0 2 1 1 . 3 . 1 . 1 1 615 1 . 1 1 1 8 . 0 1 0 2 1 8 . 3 . 1 . 1 8 607 1 . 1 1 1 22 . 0 1 0 2 1 22 . 3 . 1 . 1 22 607 1 . 1 1 The relevant control stream: ;; ---------Start $MODEL COMP=(CENTRAL) ; CMT1 DRUG COMP=(EFFECT) ; CMT2 COMP=(PR0) ; CMT3 PR(TOXGR=0) COMP=(PR1) ; CMT4 PR(TOXGR=1) COMP=(PR2) ; CMT5 PR(TOXGR=2) $PK IF (NEWIND.NE.2) THEN A1=0 A2=0 A3=0 A4=0 A5=0 PDV=0 ENDIF IF (A_0FLG.EQ.1) THEN A_0(1)=A1 IF (PDV.EQ.0) THEN A_0(3)=1 A_0(4)=0 A_0(5)=0 ENDIF IF (PDV.EQ.1) THEN A_0(3)=0 A_0(4)=1 A_0(5)=0 ENDIF IF (PDV.EQ.2) THEN A_0(3)=0 A_0(4)=0 A_0(5)=1 ENDIF ENDIF $ERROR IF (EVID.EQ.0) PDV=DV Y=1E-16 IF (DV.EQ.0) Y=1E-16 + A(3) IF (DV.EQ.1) Y=1E-16 + A(4) IF (DV.EQ.2) Y=1E-16 + A(5) A1=A(1) PR0=A(3) PR1=A(4) PR2=A(5) ;; ---------End *My question is:* to allow the preceding state to impact the probability of the current state, should I be resetting the CMT at the same time as the DV? Or I should be resetting the CMT until the next DV? In another word, should I contructure the dataset as shown above or below? If there is any difference, can someone kindly explain why? ID TIME AMT EVID DV MDV CMT 1 1 . 0 1 0 2 1 1 615 1 . 1 1 1 8 . 3 . 1 . 1 8 . 0 1 0 2 1 8 607 1 . 1 1 1 22 . 3 . 1 . 1 22 . 0 1 0 2 1 22 607 1 . 1 1 Thank you for your time! Best, Ya-Feng (Jay) -- Ya-Feng (Jay) Wen, Pharm.D. | Ph.D. Student Experimental and Clinical Pharmacology University of Minnesota College of Pharmacy 7-192 Weaver-Densford Hall, 308 Harvard Street SE Minneapolis, MN 55455 Office: 612-624-9683 | Cell: 612-443-0511
Aug 09, 2021 Jay Wen Continuous Time Markov Model Data Structure
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