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Y Y  DoseX DoseYdv Y NAA  Y  Y dY Y  Y Y Y Y  DoseId DoseXMeanStdSamplesDataForAnaAdditionalGroupDataSetIdAC͋AD͋AE͋YYYDataSetId DoseIdPrimaryKeyv1 @ d= @8 @7 @6 @5 @4 @3 @2 @1 @0  @ @BBBBBBBBB @ @BBBBBBBB B @ @BBBBBBBB B Yy to iN  GGY Y  Y d Y  Y d Y  Y d Y d Y  d Y  idDecisionRuleIdDecisionRuleNb DecisionRuleNameDerivParamCriteria NotesOperator1Treshold1Operator2treshold2eltGJDioGKIdYYDecisionRuleIdPrimaryKeyGGHv1b`LVALX tProbability to identify a clinically relevant dose where mean response<=-1.3Selecting a target dose where Y<= -1.3Probability to detect decreasing dose-response relationship using ordinal trend testU FQKi Pr[Dose]( y["1"] <= -1.3) |( y["2"] <= -1.3) |( y["3"] <= -1.3) |( y["4"] <= -1.3) |( y["5"] <= -1.3) |( y["6"] <= -1.3) |( y["7"] <= -1.3) |( y["8"] <= -1.3) mean(der) @H>0.99 Dtargetapply(cbind( y["0"] <= -1.3, y["1"] <= -1.3,y["2"] <= -1.3, y["3"] <= -1.3, y["4"] <= -1.3, y["5"] <= -1.3, y["6"] <= -1.3, y["7"] <= -1.3, y["8"] <= -1.3),1,function(x) min((0:8)[x]))mean(der[der0 Pr[DR](4* y["0"] +3* y["1"] +2* y["2"] +1* y["3"] +0* y["4"] -1* y["5"] -2* y["6"] -3* y["7"] -4* y["8"] )>0 mean(der) @H>0.99xFIIIFIII#YNMM Y d Y d Y d Y d Y dY NumberOfChainsSeedSizeOfBurninThin SizeOfSimulationRandomSeedMO͋YNumberOfChainsv1@@L1100100011000 L8NYyNQQ Y d Y FieldNameFieldTextQXYPrimaryKeyQQv11PsGSimRes_WinbugsFiles(Us9#Results_WinbugsFilesSs9$Results_Model_simul1000)Results_Model_chain1%LVALs9T# model: model { theta[1]<-int delta[1]<-slope for (i in 1:n.y){ y[i] ~ dnorm(theta[rnk.x[i]],tau)} for (k in 2:n.x){ theta[k] ~ dnorm(mu.theta[k],prec.theta[k]) delta[k] ~ dnorm(delta[k-1], prec.delta[k]) mu.theta[k] <- theta[k-1] + dist.x[k-1] * delta[k-1] prec.theta[k] <- 1 / (Wtheta*sigma*sigma) prec.delta[k] <- 1 / (Wdelta*sigma*sigma) } sigma <- 1/sqrt(tau) int~dnorm(0,1.0E-9) slope~dnorm(0,1.0E-9) tau~dgamma(0.0001,0.0001) Wtheta~dunif(0.00001,0.001) Wdelta~dunif(0.0001,100) # Loop over predictions for (i in 1:n.pred){ mean.pred[i] <- theta[pos.x.pred[i]] + dist.x.pred[i] * delta[pos.x.pred[i]] ind.pred[i] ~ dnorm(mean.pred[i],tau)} } # prior inits for chain 1: list(int=0.00000E+00, slope=0.00000E+00, tau=1.00000E+00, Wtheta=1.00000E-03, Wdelta=1.00000E+00) # data: list(dist.x=c(1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00), n.x=9.00000E+00, n.pred=9.00000E+00, pos.x.pred=c(1.00000E+00, 2.00000E+00, 3.00000E+00, 4.00000E+00, 5.00000E+00, 6.00000E+00, 7.00000E+00, 8.00000E+00, 9.00000E+00), dist.x.pred=c(0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00), n.y=3.60000E+01, y=c(-1.49000E+00, -1.79000E+00, 4.40000E-01, 1.66000E+00, -4.87000E+00, 1.60000E-01, 5.80000E-01, 2.83000E+00, 3.56000E+00, 1.43000E+00, -2.02000E+00, -7.20000E-01, 3.19000E+00, 1.07000E+00, 1.47000E+00, 1.38000E+00, -1.95000E+00, 1.43000E+00, 1.61000E+00, -3.80000E-01, -3.60000E-01, 6.10000E-01, 3.34000E+00, 3.23000E+00, -3.68000E+00, 1.42000E+00, -2.27000E+00, 1.31000E+00, -1.24000E+00, 5.50000E-01, 2.02000E+00, -1.02000E+00, -2.38000E+00, 1.86000E+00, -1.08000E+00, -1.53000E+00), rnk.x=c(1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 3.00000E+00, 3.00000E+00, 3.0B LVALR 0000E+00, 3.00000E+00, 4.00000E+00, 4.00000E+00, 4.00000E+00, 4.00000E+00, 5.00000E+00, 5.00000E+00, 5.00000E+00, 5.00000E+00, 6.00000E+00, 6.00000E+00, 6.00000E+00, 6.00000E+00, 7.00000E+00, 7.00000E+00, 7.00000E+00, 7.00000E+00, 8.00000E+00, 8.00000E+00, 8.00000E+00, 8.00000E+00, 9.00000E+00, 9.00000E+00, 9.00000E+00, 9.00000E+00)) LVALs9V# model: model { theta[1]<-int delta[1]<-slope for (i in 1:n.y){ y[i] ~ dnorm(theta[rnk.x[i]],tau)} for (k in 2:n.x){ theta[k] ~ dnorm(mu.theta[k],prec.theta[k]) delta[k] ~ dnorm(delta[k-1], prec.delta[k]) mu.theta[k] <- theta[k-1] + dist.x[k-1] * delta[k-1] prec.theta[k] <- 1 / (Wtheta*sigma*sigma) prec.delta[k] <- 1 / (Wdelta*sigma*sigma) } sigma <- 1/sqrt(tau) int~dnorm(0,1.0E-9) slope~dnorm(0,1.0E-9) tau~dgamma(0.0001,0.0001) Wtheta~dunif(0.0001,100) Wdelta~dunif(0.0001,100) # Loop over predictions for (i in 1:n.pred){ mean.pred[i] <- theta[pos.x.pred[i]] + dist.x.pred[i] * delta[pos.x.pred[i]] ind.pred[i] ~ dnorm(mean.pred[i],tau)} } # prior inits for chain 1: list(int=0.00000E+00, slope=0.00000E+00, tau=1.00000E+00, Wtheta=1.00000E+00, Wdelta=1.00000E+00) # data: list(dist.x=c(1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00), n.x=9.00000E+00, n.pred=9.00000E+00, pos.x.pred=c(1.00000E+00, 2.00000E+00, 3.00000E+00, 4.00000E+00, 5.00000E+00, 6.00000E+00, 7.00000E+00, 8.00000E+00, 9.00000E+00), dist.x.pred=c(0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00, 0.00000E+00), n.y=1.44000E+02, y=c(4.07740E-01, 9.70362E-02, 1.42105E+00, 1.23158E+00, 1.32968E+00, 9.51081E-01, 2.61156E+00, 1.36548E+00, -2.50991E-01, 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J<  DAO>BDAO *\G{00025E01-:0C  0046}#5.0#0#C:\Program Files\Common Microsoft Shared\w\dao360.dll# 3.6 Object Li`braryH|ADODB>D ADZDB\\C]\10-8\AA006D2EA@4}#2.1\ROGRAM FILES\COMMONSYSTEM\9\msado21.tlbWActiveX DataZs ,\stdole>stdole/h.^/2043\Y -P]2E]WINDOWS\system32\C2)OLE Automation"”am  *\G{000204EF-0000-0000-C000-000000000046}#4.0#9#C:\PROGRA~1\FICHIE~1\MICROS~1\VBA\VBA6\VBE6.DLL#Visual Basic For Applications*\G{4AFFC9A0-5F99-101B-AF4E-00AA003F0F07}#9.0#0#C:\Program Files\Microsoft Office\OFFICE11\MSACC.OLB#Microsoft Access 11.0 Object Library*\G{00025E01-0000-0000-C000-000000000046}#5.0#0#C:\Program Files\Common Files\Microsoft Shared\DAO\dao360.dll#Microsoft DAO 3.6 Object Library*\G{00000201-0000K][-0010-8000-00AA006D2EA4}#2.1#0#C:\PROGRAM FILES\COMMON FILES\SYSTEM\ADO\msado21.tlb#Microsoft ActiveX Data Objects 2.1 Library*\G{00020430-0000-0000-C000-000000000046}#2.0#0#C:\WINDOWS\system32\stdole2.tlb#OLE Automation N?x %AccessVBAWin16~Win32MacVBA6# Access9dbDAOADODBsstdole`H   ID="{4A9D0C0D-0BD6-11D4-9BD1-00003965D308}" Name="Access9db" HelpContextID="0" VersionCompatible32="393222000" CMG="5A58EB534157415741574157" DPB="B4B6053D059606960696" GC="0E0CBFE7431B9C1C9C1C63" [Host Extender Info] &H00000001={3832D640-CF90-11CF-8E43-00A0C911005A};VBE;&H00000000 [Workspace] ijMSysDbAcessVBAData2 Forms  `^$+`^$+Cmdbars`^$+`^$+Modules `^$+`^$+Reports`^$+`^$+Scripts `^$+`^$+PropData3Databases`^$+,Nc0`^$+ &+Blob DirData4CustomGroups`^$+`^$+DataAccessPages `^$+`^$+K][ ]_`abS YNeeY  Y Y  Y  Y 伂 Y Id LValueObjectGuidObjectNameProperty ValueefegehYYYId$ObjectGuidProperty$ObjectNamePropertyeHv1b@ d d dY Njj Y d Y dY Y Y  xPred xCrit nDosesfixDoses yPreddvi eF'\(\80.0137669342253499(Qѿ70.00487582371910425)?60ףp= ?50)\(?40HzG?30Gz?20(\?10Q?00 FY5N mmY  Y d Y  Y d Y  Y  Y d Y  Y  d Y   dY DecisionRuleNb DecisionRuleNameDerivParamCriteria NotesOperator1Treshold1Operator2Treshold2Result_critResult_decisionmpDiomqIdYYDecisionRuleIdPrimaryKeymmHv1b@@`LVALXtSelecting a target dose where Y<= -1.3Probability to identify a clinically relevant dose where mean response<=-1.3Probability to detect decreasing dose-response relationship using ordinal trend test= lGYQ Dtargetapply(cbind( y["0"] <= -1.3, y["1"] <= -1.3,y["2"] <= -1.3, y["3"] <= -1.3, y["4"] <= -1.3, y["5"] <= -1.3, y["6"] <= -1.3, y["7"] <= -1.3, y["8"] <= -1.3),1,function(x) min((0:8)[x]))mean(der[der08  Pr[Dose]( y["1"] <= -1.3) |( y["2"] <= -1.3) |( y["3"] <= -1.3) |( y["4"] <= -1.3) |( y["5"] <= -1.3) |( y["6"] <= -1.3) |( y["7"] <= -1.3) |( y["8"] <= -1.3) mean(der) @n>0.990.312  Pr[DR](4* y["0"] +3* y["1"] +2* y["2"] +1* y["3"] +0* y["4"] -1* y["5"] -2* y["6"] -3* y["7"] -4* y["8"] )>0 mean(der) @n>0.990.88v looolooomY$,Nss Y dY  DoseX DoseYdv r${hUB/ q^K8% z g T {Gz8 HzG8 (\?8  ףp= 8 RQ7 )\(@7 ?7 ףp= 7 (\?6 )\(6 Q?6 q= ףp 6 ףp= @5 Q @5 Q?5  ףp= ׿5 RQؿ4 (\?4 zG?4 3333334 Gz?3 Q?3 Q?3 Q @3  ףp= 2 )\(2 zG?2 {Gz @2 p= ף@1 (\?1 {Gz?1 {Gz1 (\?0 )\(?0 p= ף0 ףp= 0 YNvvY Y Y  Y Y Y $Itint slopetau Wtheta WdeltadvuSsDY* n ?  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