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K~@K~@FormsK,,,,,,,,,,* K~@K~@DataAccessPagesK@@@@@@@@@@> @@MSysRelationshipsJDDDDDDDDDDB @@MSysQueriesJ88888888886 @@MSysACEsJ22222222220 @@MSysObjectsJ88888888886 @6PL@MSysDbK@:::......., @@@RelationshipsJ<<<<<<<<<<: @@DatabasesJ44444444442 @@TablesJ.........., YNY  Y AllocRuleIdFunctionYAllocRuleIdv1 _Y666NY Y  Y  Y AllocRuleIdMinOrMaxOperatorCritYYAllocRuleIdv1 >pmax( y["0"] , y["1"] , y["2"] , y["3"] )3OY666NY  Y  Y  Y dAllocRuleIdULRandomRuleiYAllocRuleIdv1  3YNY Y Y Y QuantileIdAllocRuleIdQWLLLLLLLLLYYYAllocRuleIdPrimaryKeyQuantileIdv1    YNY  Y  Y dY AllocRuleId NotesAllocRuleTypeSelectedLL!LLL"LYYAllocRuleIdPrimaryKeyHv1bCRM     hY N$$  Y Y  Y dY Y CohortDoseIdCohortId DoseXSamples FixedLL$&LLL$'LLL$(LYYYCohortDoseIdCohortIdPrimaryKeyv1@  # mXC. 0  1 2 3 3 0 2 0 1 0  # @%%%%%%%% % %  # @%%%%%%%%%%  # @%%%%%%%% % %  .YN  **Y Y  Y Y  Y Ld Y d Y d Y Ld Y LdY  Y  CohortIdCohortNbCohortNotesCohortSizeRandomRuleCreatedUserCreatedDateResultsUserResultsDateHasResultsSelectedLL*,LLL*-LYYCohortIdPrimaryKey**Hv1b )R (MEDbestxd0005504/16/2008 15:00:09AAA,#  (Dose 3blockxd0005504/16/2008 14:58:44EEE0'  (Dose 2blockxd0005504/16/2008 14:58:22EEE0'  (Dose 1blockxd0005504/16/2008 14:57:54EEE0'  )++++ )++++a YN//Y Y  Y d Y 0 Y Ld Y dY Y DataSetIdDataSetNbDataSetNameDataSetDescCreatedUserCreatedDate LockedDataForAnaLLL/1LLLL/2LYYDataSetIdPrimaryKeyv1.xd0005504/16/2008 14:55:19( 3.0.0 YPN44PPPPPPY  Y dY Y  Y Y  DoseId DoseX DoseYDataSetIdDataForAnaDataSummaryIdLL46LLL47LLL48LLL49LYYYYDataSetIdDataSummaryId DoseIdPrimaryKeyHv1b@ 3PeF'mN/ u V 7  } ^ ?  f G ( n O 0  v W 8  ~_@!gH) oPQ3/Gz3@3/)\#3/@3/Gz'@3/(\@3/q= ףp$@3/Q6@3/q= ףpݿ3/)\((3/p= ף@3/,@3/Q?3/Gz@3/3/!3/\(#3/RQ0@3/~Qk-@3/}\(\!@3/|RQ!@2/{Hz 2/zGz2/y ףp= 2/x(\@2/w)\;@2/vQ'@2/u\(\2/t33333&@2/sffffff@2/rq= ףp@2/qq= ף*@2/pp= ף@2/o(\)@2/n\(\-@2/m3333332/lףp= 1@2/kGz*2/j{Gz@2/i&@2/h ףp=2@1/gffffff?1/fHz3@1/eQ1/d-@1/c(1/bQ.@1/aq= ףp'@1/`33333A@1/_\(\(1/^Q8"@1/](\u7@1/\Q޿1/[(\$@1/Z(\&@1/Y(\1/X*@1/W 1/VQ+1/UHzG1/T(\"@0/S\($@0/R@0/Qq= ףp?0/Pq= ף2@0/Oףp= W30/NR"@0/M333333?0/L)\0@0/K\(\0/JGz$@0/I&@0/H\(#@0/Gq= ףp@0/FGz@0/Eq= ף/@0/Dffffff.@0/CGz.'0/B= ףp= @0/Aq= ףp@0/P 3 @ @ @ @ @ @ @ @ @ @5555555555 5 5 5 5 5555555555555555555 5!5"5#5$5%5&5'5(5)5*5+5,5-5.5/505152535455565758595:5;5<5=5>5?5@5A5B5C5D5E5F5G5H5I5J5K5L5M5N5OP 3 @ @ @ @ @ @ @ @ @ @5555555555 5 5 5 5 5555555555555555555 5!5"5#5$5%5&5'5(5)5*5+5,5-5.5/505152535455565758595:5;5<5=5>5?5@5A5B5C5D5E5F5G5H5I5J5K5L5M5N5OP 3 @ @ @ @ @ @ @ @ @ @A5B5C5D5E5F5G5H5I5J5 K5 L5 M5 N5 O5P5Q5R5S5T5U5V5W5X5Y5Z5[5\5]5^5_5`5a5 b5!c5"d5#e5$f5%g5&h5'i5(j5)k5*l5+m5,n5-o5.p5/q50r51s52t53u54v55w56x57y58z59{5:|5;}5<~5=5>5?5@5A5B5C5D5E5F5G5H5I5J5K5L5M5N5OP 3 @ @ @ @ @ @ @ @ @ @A5B5C5D5E5F5G5H5I5J5 K5 L5 M5 N5 O5P5Q5R5S5T5U5V5W5X5Y5Z5[5\5]5^5_5`5a5 b5!c5"d5#e5$f5%g5&h5'i5(j5)k5*l5+m5,n5-o5.p5/q50r51s52t53u54v55w56x57y58z59{5:|5;}5<~5=5>5?5@5A5B5C5D5E5F5G5H5I5J5K5L5M5N5OrYUN;; Y dSimDataTypedv:normalmY̴N>> Y rY  DoseX DoseYdv YN@@Y  Y dY Y  Y Y Y Y  DoseId DoseXMeanStdSamplesDataForAnaAdditionalGroupDataSetIdLL@BLLL@CLLL@DLYYYDataSetId DoseIdPrimaryKeyv1N?d@$@3 @$@2 @$@1 @$@0  ?AAAA ?AAAA ?AAAA YN  FFY Y  Y d Y 0 Y Ld Y  Y d Y Ld Y Ld Y  dDecisionRuleIdDecisionRuleNb DecisionRuleNameDerivParamCriteria NotesOperator1Treshold1Operator2treshold2LLLFHLLLLFILYYDecisionRuleIdPrimaryKeyFFHv1b Ev  Pr[D3>Pbo] y["3"] > y["0"] mean(der) Dose 3 is better than Pbo>0.95ccc][4' Pr[D2>Pbo] y["2"] > y["0"] mean(der) Dose 2 is better than Pbo>0.95ccc][4' Pr[D1>Pbo] y["1"] > y["0"] mean(der) Dose 1 is better than Pbo>0.95ccc][4' Pr[Futility]pmax( y["1"] , y["2"] , y["3"] )<= y["0"] mean(der) Futility stop>=0.45tttnjOB EGGGG EGGGG#YNKK Y d Y _d Y d Y  d Y LdY NumberOfChainsSeedSizeOfBurninThin SizeOfSimulationRandomSeedLLKMLYNumberOfChainsv1 J1100100011000 J8LYNOO Y d Y FieldNameFieldTextOVYPrimaryKeyOOv1@>1NsGSimRes_WinbugsFiles"Su7{#Results_WinbugsFilesDQu7{$Results_Model_simul1000)Results_Model_chain1%LVALu7{R# model: model { for (i in 1:n.obs) {y[i]~dnorm(mean[i],tau) mean[i]<-mu_0 * equals(x[i], 0) + mu_1 * equals(x[i], 1) + mu_2 * equals(x[i], 2) + mu_3 * equals(x[i], 3) + mu_4 * equals(x[i], 4) + mu_5 * equals(x[i], 5) + mu_6 * equals(x[i], 6) + mu_7 * equals(x[i], 7) + mu_8 * equals(x[i], 8) + mu_9 * equals(x[i], 9) + mu_10 * equals(x[i], 10)} tau~dgamma(0.0001,0.0001) mu_0~dnorm(0,1.0E-9) mu_1~dnorm(0,1.0E-9) mu_2~dnorm(0,1.0E-9) mu_3~dnorm(0,1.0E-9) mu_4<-0 mu_5<-0 mu_6<-0 mu_7<-0 mu_8<-0 mu_9<-0 mu_10<-0 # Loop over prediction range for (i in 1:n.pred) {mean.pred[i]<-mu_0 * equals(x.pred[i], 0) + mu_1 * equals(x.pred[i], 1) + mu_2 * equals(x.pred[i], 2) + mu_3 * equals(x.pred[i], 3) + mu_4 * equals(x.pred[i], 4) + mu_5 * equals(x.pred[i], 5) + mu_6 * equals(x.pred[i], 6) + mu_7 * equals(x.pred[i], 7) + mu_8 * equals(x.pred[i], 8) + mu_9 * equals(x.pred[i], 9) + mu_10 * equals(x.pred[i], 10) ind.pred[i]~dnorm(mean.pred[i],tau)}} # prior inits for chain 1: list(tau=1.00000E+00, mu_0=0.00000E+00, mu_1=0.00000E+00, mu_2=0.00000E+00, mu_3=0.00000E+00) # data: list(x.pred=c(0.00000E+00, 1.00000E+00, 2.00000E+00, 3.00000E+00), n.pred=4.00000E+00, n.obs=8.00000E+01, x=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, 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, 0.00000E+00, 0.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, LVAL3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00), y=c(1.59300E+01, -9.74000E+00, 1.80300E+01, 1.40000E+01, 9.68000E+00, 1.00600E+01, -5.11000E+00, 1.39600E+01, 1.17000E+00, 4.70000E+00, 1.41000E+01, 9.20000E+00, 1.19000E+01, 1.09000E+00, 1.33000E+00, 7.63000E+00, -5.02000E+00, 1.22600E+01, 1.60100E+01, 2.35700E+01, -1.01000E+00, 1.10800E+01, -8.03000E+00, 2.09300E+01, -1.61000E+00, 1.34400E+01, 1.91700E+01, -5.99000E+00, 1.66700E+01, 1.56000E+00, 2.18200E+01, 3.35000E+00, 9.16000E+00, -1.29200E+01, 9.15000E+00, 2.00100E+01, -2.66000E+00, -2.93000E+00, 4.30000E-01, 7.63000E+00, 2.02200E+01, 1.53800E+01, 2.24600E+01, 3.06000E+01, 1.10300E+01, 1.09900E+01, 2.13300E+01, 5.83000E+00, 1.50700E+01, 1.72800E+01, 1.59100E+01, 2.07000E+01, 9.15000E+00, 2.46000E+00, -5.34000E+00, 1.92800E+01, 1.42000E+01, 1.88700E+01, 1.31500E+01, 7.63000E+00, 4.22700E+01, 2.08000E+00, 1.57000E+01, 1.27500E+01, 1.15500E+01, 6.87000E+00, 1.60000E-01, 2.22800E+01, -3.50000E+00, 1.44600E+01, 1.53000E+00, -1.46000E+01, 1.41400E+01, 1.60100E+01, 1.59500E+01, 4.70000E-01, -2.67000E+00, -4.76000E+00, 2.12900E+01, 1.24600E+01)) LVALu7{T# model: model { for (i in 1:n.obs) {y[i]~dnorm(mean[i],tau) mean[i]<-mu_0 * equals(x[i], 0) + mu_1 * equals(x[i], 1) + mu_2 * equals(x[i], 2) + mu_3 * equals(x[i], 3) + mu_4 * equals(x[i], 4) + mu_5 * equals(x[i], 5) + mu_6 * equals(x[i], 6) + mu_7 * equals(x[i], 7) + mu_8 * equals(x[i], 8) + mu_9 * equals(x[i], 9) + mu_10 * equals(x[i], 10)} mu_0~dnorm(0,1.0E-9) mu_1~dnorm(0,1.0E-9) mu_2~dnorm(0,1.0E-9) mu_3~dnorm(0,1.0E-9) mu_4<-0 mu_5<-0 mu_6<-0 mu_7<-0 mu_8<-0 mu_9<-0 mu_10<-0 tau~dgamma(0.0001,0.0001) # Loop over prediction range for (i in 1:n.pred) {mean.pred[i]<-mu_0 * equals(x.pred[i], 0) + mu_1 * equals(x.pred[i], 1) + mu_2 * equals(x.pred[i], 2) + mu_3 * equals(x.pred[i], 3) + mu_4 * equals(x.pred[i], 4) + mu_5 * equals(x.pred[i], 5) + mu_6 * equals(x.pred[i], 6) + mu_7 * equals(x.pred[i], 7) + mu_8 * equals(x.pred[i], 8) + mu_9 * equals(x.pred[i], 9) + mu_10 * equals(x.pred[i], 10) ind.pred[i]~dnorm(mean.pred[i],tau)}} # prior inits for chain 1: list(mu_0=0.00000E+00, mu_1=0.00000E+00, mu_2=0.00000E+00, mu_3=0.00000E+00, tau=1.00000E+00) # data: list(x.pred=c(0.00000E+00, 1.00000E+00, 2.00000E+00, 3.00000E+00), n.pred=4.00000E+00, n.obs=1.20000E+02, x=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, 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, 0.00000E+00, 0.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 1.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, 2.00000E+00, LVALU3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+00, 3.00000E+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, 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, 0.00000E+00, 0.00000E+00, 0.00000E+00), y=c(1.36502E+01, -1.48688E+00, 6.47682E+00, -1.33034E+01, 1.14617E+01, 9.61663E+00, -1.88188E+01, 7.38819E+00, -7.09121E+00, -1.68017E+00, 7.28386E+00, 2.20126E+01, -8.30971E+00, 8.23180E+00, 4.17480E+00, -4.04788E+00, -2.06241E+01, -8.55303E-01, -5.39238E+00, -8.16846E+00, -9.07291E+00, 1.24959E+01, -7.98173E+00, -1.37376E+00, 1.65329E+01, 1.47527E+01, -3.55606E+00, 2.66149E+01, 7.63640E+00, 1.73339E+00, -1.27114E+01, 2.10567E+01, -1.05617E+01, 1.07261E+01, 2.33801E+00, -5.14487E+00, -5.55650E+00, 1.35742E+01, -7.46038E+00, 6.70352E+00, 4.03126E+00, 2.21598E+01, 1.40210E+00, 1.02743E+01, 6.56574E-01, 2.42502E+01, -5.54377E+00, 1.61125E+01, 6.44548E+00, 3.34803E+00, -4.32010E+00, 1.81079E+00, -6.38201E+00, -5.71134E+00, 2.99182E+00, -4.17075E+00, -4.30480E+00, 6.25118E+00, 1.02590E+01, 1.87809E+01, 1.12030E+01, -2.73828E+00, 1.07742E+00, 1.61076E+01, 6.29487E+00, -6.73231E+00, 7.78274E+00, -3.94672E+00, 2.93964E+01, 2.35779E+00, 5.84784E+00, 3.63498E-01, 1.11712E+01, 1.55471E+00, 1.59720E+01, -1.11104E+01, 1.26685E+01, 1.11132E+01, -5.53862E+00, 4.11571E+01, 4.18420E-02, 1.63405E+01, 4.73817E+00, 5.75108E+00, 7.52281E-01, -2.43772E+00, -7.00633E+00, -5.14998E+00, 2.22962E+01, -2.35303E+00, 9.79723E+00, -9.07466E+00, 3.14181E+00, 5.0772 LVAL* 5E+00, -2.92186E+00, 1.34477E+01, -1.96884E+00, 2.13690E+01, 1.09423E+01, 9.47195E-01, 1.22087E+01, -9.37055E+00, -4.03543E+00, -3.33684E+00, 6.15881E+00, 2.64373E-02, 1.35988E+01, -1.40070E+00, 1.23777E+01, 1.99985E+00, 5.45869E+00, 2.39158E+00, 1.25224E+01, -4.47232E+00, 1.30060E+01, -2.74930E-01, -1.96206E+00, 1.36297E+01, -1.16874E+01, 3.75680E-01))  NiQko^mk+`dOQ^+MWJYbPiQko^mk+`dOQ^+kY`o^PiQko^mk+sYbLoUkSY^QkPkY`iQk+sYbLoUkSY^QkPwY666NXX Y dY Y Y ModuleName IncludedOnImportLockedOnImportValidatedXZYPrimaryKeyv1LWfSimulation plan Simulation data Estimation model Decision rules Analyse dataAllocation rules  W@J^^dMJmYdbio^QkYJbJ^vkQOJmJYOQMYkYdbio^QkYQkmY`JmYdb`dOQ^YkY`o^JmYdbOJmJYkY`o^JmYdbf^JbY YN\\Y Y DataIDle\bYAOIndexv1K[[8`#PwH h/#$SysAccessObjects?LLLLLLLLLLJ K[[ࡱ>  Root Entry YY@ VBA`^$+YYVBAProject`w*+YYVBA`w*+YY  AcessVBAData2 Forms  `^$+`^$+Cmdbars`^$+`^$+Modules `^$+`^$+  !"#$%&'()*+-./0E43-00A0C911005A};VBE;&H00000000 [Workspace] e] jiMSysDb_VBA_PROJECTdirPROJECT,1PROJECTwm1x %AccessVBAWin16~Win32MacVBA6# Access9dbDAOADODBsstdole`H   ID="{4A9D0C0D-0BD6-11D4-9BD1-00003965D308}" Name="Access9db" HelpContextID="0" VersionCompatible32="393222000" CMG="ACAE1DF3659B699B699B699B69" DPBK[[="585AE90AEA0AEA0A" GC="0406B51BCDC6CEC6CE39" [Host Extender Info] &H00000001={3832D640-CF90-11CF-8ر0* pHd Access9dDb0@ = p N? 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[ ]^_`aS YNddY   Y Y  Y  Y  Y Id LValueObjectGuidObjectNameProperty ValuededfdgYYYId$ObjectGuidProperty$ObjectNamePropertydHv1b@  c c c>YNii Y Y Y  Y XY Y Y  Filter FlagsIdNamePosition SelectedObjectIDTypeikYIdv1UhiPersonnalis*&&" ^Tables "w Vhjjj RY Nmm  Y Y Y  Y 0Y Y Y  FlagsGroupCategoryIDIdName"Object Type GroupObjectIDPositionmompYYGroupCategoryIDIdv1@@ l yLnA   w / w , w  wGroupe personnalis 1D@<8  w w w w w w w l @n n n nnnnnnnnn l @nnnnnnnn n n  n  n  Y))Nrr)))Y Y Y Y   Y Y Y  FlagsGroupIDIconIdNameObjectIDPositionrtruYYGroupIDIdv1 kq)yLk> ] 0  | O " n A  ` 3   R % )/) o(,% o'' o&& o%0% o$*$ o## o"" o!! o  o o| ow os on oh of od ob o^ o\ oW oP oL oI oE o@ o= o 7  o 3  o &  o !  o   o o o o o o o o o q @ @ @ @ @ssssssssss s s s s sssssssssssssssssss s!s"s#s$s%s&s's( q @ @ @ @ @ssssssss s s  s  s  s s sssssssssssssssss s!s "s!#s"$s#%s$&s%'s&(s')s(RY:NwwY  Y Y IdNameTypedv v:h=dA W 8 J  e >  a 2 u H  vEpp=K/SimResults_Decisions2.,Data_Sampling$ MSysNavPaneObjectIDs2.MSysNavPaneGroupToObjects<8MSysNavPaneGroups,(0MSysNavPaneGroupCategories>:*Misc_Fields SimResults_Misc($SimResults_ByDose,(Results_MCMC"SimResults_ByCohort0, AllocRules_listAllocRule_QWV_quantilesVR AllocRule_QWV_paramsAllocRules_listPLStudyModelParameters2.|StudyModelParam_TEMP2.wStudyMiscParam&"sSimPlan_Misc"nSimPlan_DecisionRules40hSimPlan_Cohorts($fResults_Summary($dResults_Misc"bResults_InitialData0,^Results_DecisionRules40\Results_AllocationRules84WMSysAccessXML$ PMSysAccessObjects,(LModulesIMCMCParamEDecisionRules$ @Data_Summary"=Data_Misc7Data_Doses3Data_DataSets$ &AnaCohorts!AnaCohortDoses&"AllocRules_list($AllocRule_QWV_quantiles84AllocRule_QWV_params2.AllocRule_CRM$ AllocRule_COPT_params40 Admin UserDefined SummaryInfo AccessLayout "SysRelScriptsReportsModulesFormsDataAccessPages($MSysRelationships,(MSysQueries MSysACEsMSysObjects MSysDbRelationships$ DatabasesTablesYNzz Y d Y dY Y Y  xPred xCrit nDosesfixDoses yPreddv_yuQ8"@30.009Q,@20.605@10Q @00.015 FYN }}Y  Y d Y  Y d Y  Y  Y d Y  Y d Y  dY DecisionRuleNb DecisionRuleNameDerivParamCriteria NotesOperator1Treshold1Operator2Treshold2Result_critResult_decision}}YYDecisionRuleIdPrimaryKey}}Hv1b@@ |jb Pr[D3>Pbo] y["3"] > y["0"] mean(der) Dose 3 is better than Pbo>0.950.607mccc[Y2%  Pr[D2>Pbo] y["2"] > y["0"] mean(der) Dose 2 is better than Pbo>0.950.97kccc[Y2%  Pr[D1>Pbo] y["1"] > y["0"] mean(der) Dose 1 is better than Pbo>0.950.238mccc[Y2%  Pr[Futility]pmax( y["1"] , y["2"] , y["3"] )<= y["0"] mean(der) Futility stop>=0.450.026~tttlhM@  |~~~~