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K~@K~@Forms,,,,,,,,,,* K~@K~@DataAccessPages@@@@@@@@@@> @@MSysRelationshipsDDDDDDDDDDB @@MSysQueries88888888886 @@MSysACEs22222222220 @@MSysObjects88888888886 @w_X@MSysDb@ :::......., @@@Relationships<<<<<<<<<<: @@Databases44444444442 @@Tables.........., YNY  Y AllocRuleIdFunction\YAllocRuleIdv1 _YNY Y  Y  Y AllocRuleIdMinOrMaxOperatorCritYYAllocRuleIdv1 OYNY  Y  Y  Y dAllocRuleIdULRandomRuleiYAllocRuleIdv1-1.30  3YNY Y Y Y QuantileIdAllocRuleIdQWYYYAllocRuleIdPrimaryKeyQuantileIdv1@ ??YN  Y  Y  Y dY AllocRuleId NotesAllocRuleTypeSelected " #YYAllocRuleIdPrimaryKey  Hv1b Find MEDQWV!!! hY N%%  Y Y  Y ~dY Y CohortDoseIdCohortId DoseXSamples FixedT$~T$~T%'~$TT$~T$~T%(~$TT$~T$~T%)~$TYYYCohortDoseIdCohortIdPrimaryKeyv1@@#$ mXC 0 1 2 3 4 5 6 7 8  $ @&&&&&&&& & $ @&&&&&&&&& $ @&&&&&&&& & .YN  ++Y Y  Y Y  Y Ld Y }d Y }d Y Ld Y LdY  Y  CohortIdCohortNbCohortNotesCohortSizeRandomRuleCreatedUserCreatedDateResultsUserResultsDateHasResultsSelected}L}L+-L}}L}L+.L}YYCohortIdPrimaryKey++Hv1b@ * $Adaptive cohortblockxd0005502/11/2008 14:04:07NNN90) *,*,a YN00Y Y  Y d Y  Y $Td Y T~dY Y DataSetIdDataSetNbDataSetNameDataSetDescCreatedUserCreatedDate LockedDataForAna$~T$~T$02T~$$~T$~T$03T~$YYDataSetIdPrimaryKeyv1/Cohort definitionEmax modelxd0005502/08/2008 17:17:50G2) ?/1/1 Y$sN55$$ $$$$Y  Y dY Y  Y Y  DoseId DoseX DoseYDataSetIdDataForAnaDataSummaryId~T$~T$~57$T~~T$~T$~58$T~~T$~T$~59$T~~T$~T$~5:$T~YYYYDataSetIdDataSummaryId DoseIdPrimaryKeyHv1b@@N 4$eF'mN/ u V 7  } ^ ?  sHzG? 8/rQ? 8/q{Gz? 8/p)\( 8/o)\(?7/nGz7/m(\7/l7/k(\6/jHzG6/i{Gz?6/h)\(?6/gQ5/f(\5/eGz5/dףp= ӿ5/c(\4/b\(\4/azG @4/`ffffff4/_3/^333333?3/]ffffff?3/\Q3/[Q@2/Zףp= 2/Y2/XGz׿2/W)\(1/V1/U1/TQ1/S ףp= ǿ0/R\(\?0/Q?0/PGz @0/ 4 @ @ @ @6666666666 6 6 6 6 6666666666666666666 6!6"6# 4 @ @ @ @6666666666 6 6 6 6 666666666666666666 6  6! 6" 6# 4 @ @ @ @P6Q6R6S6T6U6V6W6X6Y6 Z6 [6 \6 ]6 ^6_6`6a6b6c6d6e6f6g6h6i6j6k6l6m6n6o6p6 q6!r6"s6# 4 @ @ @ @P6Q6R6S6T6U6V6W6X6Y6 Z6 [6 \6 ]6 ^6_6`6a6b6c6d6e6f6g6h6i6j6k6l6m6n6o6p6 q6!r6"s6#rYN<< Y ΖdSimDataTypedv ;normalmY N?? Y $TY  DoseX DoseYdv Y NAA  Y  Y dY Y  Y Y Y Y  DoseId DoseXMeanStdSamplesDataForAnaAdditionalGroupDataSetId~T$~T$~AC$T~~T$~T$~AD$T~~T$~T$~AE$T~YYYDataSetId DoseIdPrimaryKeyv1 @ d= '1Z@8 jt@7 /$@6 5^I @5 V-@4 !rh@3 n@2 V-@1 @0  @ @BBBBBBBBB @ @BBBBBBBB B @ @BBBBBBBB B YN  GGY Y  Y d Y   Y Ld Y } Y }d Y Ld Y Ld Y  }dDecisionRuleIdDecisionRuleNb DecisionRuleNameDerivParamCriteria NotesOperator1Treshold1Operator2treshold2L}L}LGJ}LL}L}LGK}LYYDecisionRuleIdPrimaryKeyGGHv1b`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 testT FQJh 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>0.95 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>0.95xFIIIFIII#YNMM Y d Y d Y d Y d Y $TdY NumberOfChainsSeedSizeOfBurninThin SizeOfSimulationRandomSeed~T$~T$~MO$T~YNumberOfChainsv1@@L1100100011000 L8NYNQQ Y d Y FieldNameFieldTextQXYPrimaryKeyQQv11PsGSimRes_WinbugsFiles()U>#Results_WinbugsFilesS>$Results_Model_simul1000)Results_Model_chain1%LVAL>T# 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=3.60000E+01, y=c(3.21000E+00, 1.05000E+00, 1.46000E+00, -1.80000E-01, -2.34000E+00, -8.00000E-01, -1.05000E+00, -1.76000E+00, -3.70000E-01, -4.25000E+00, -4.21000E+00, 3.94000E+00, -2.69000E+00, 7.00000E-01, 1.95000E+00, -1.50000E+00, -1.15000E+00, 3.36000E+00, -5.84000E+00, -1.36000E+00, -3.10000E-01, -1.38000E+00, -1.36000E+00, -1.97000E+00, 2.20000E-01, 1.03000E+00, -2.66000E+00, -5.74000E+00, -1.60000E+00, -3.87000E+00, -1.73000E+00, 1.51000E+00, -8.80000E-01, 2.00000E-02, 8.60000E-01, 1.33000E+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+008 LVALH , 3.00000E+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)) LVAL>V# 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, 3.18682E-01, -5.99194E-02, 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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`^$+ &+Blob DirData4CustomGroups`^$+`^$+DataAccessPages `^$+`^$+K][ ]_`abS YNeeY P Y Y ~ Y  Y D Y D~Id LValueObjectGuidObjectNameProperty Value~D~DefD~~D~DegD~~D~DehD~YYYId$ObjectGuidProperty$ObjectNamePropertyeHv1b@ d d dY Njj Y d Y dY Y Y  xPred xCrit nDosesfixDoses yPreddv'i m= yG ףp= ?80.00764058608531527){Gz70.0115523291498006(\(\60.0111380632840762((\50.0106360429937735(ffffff40.0112089266492729(q= ףp30.010696393116474'(\20.0121227193908853()\(10.0116044226195664(?00.0018296552796025( FY0}N 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 lEW0 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[der02.45314109165808  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>0.950.971  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>0.950.776v looolooomY$,Nss Y dY  DoseX DoseYdv r${hUB/ q^K8% z g T HzG?8 Q?8 {Gz?8 )\(8 )\(?7 Gz7 (\7 7 (\6 HzG6 {Gz?6 )\(?6 Q5 (\5 Gz5 ףp= ӿ5 (\4 \(\4 zG @4 ffffff4 3 333333?3 ffffff?3 Q3 Q@2 ףp= 2 2 Gz׿2 )\(1 1 1 Q1  ףp= ǿ0 \(\?0 ?0 Gz @0 YNvvY Y Y  Y Y Y $Itint slopetau Wtheta WdeltadvuSsDY* n ?  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