Hello bugs I am Graduate student in Biostatistics. I run two code for estimate the parameters in survival models but BUGS shows this "Sorry something went wrong in procedure stack. Value in module GraphStack" codes are attached. In FG code this error is in the process of updating and in FS code this error is in the process of load inits. Kind Regards Bonakchi. [log in to unmask] # FS model model { C<-10000 for(i in 1 : N){ log(theta1[i]) <- B1[1]*Age[i]+B1[2]*Gender[i]+B1[3]*Treatment.course[i]+B1[4]*WBC[i]+B1[5]*plt[i]+B1[6]*LDH[i]+B1[7]*The.cell.line[i]+B1[8]*CNS[i]+B1[9]*hemorraahagic[i]+B1[10]*mediastinal.mass[i]+B1[11]*reumatoid.signs[i]+B1[12]*tumor.lysis.synd[i]+B1[13]*hepatosplenomegalia[i]+B1[14]*Lymphadenopathy[i]+B1[15]*Radiotherapy[i] log(theta2[i])<- B2[1]*Age[i]+B2[2]*Gender[i]+B2[3]*Treatment.course[i]+B2[4]*WBC[i]+B2[5]*plt[i]+B2[6]*LDH[i]+B2[7]*The.cell.line[i]+B2[8]*CNS[i]+B2[9]*hemorraahagic[i]+B2[10]*mediastinal.mass[i]+B2[11]*reumatoid.signs[i]+B2[12]*tumor.lysis.synd[i]+B2[13]*hepatosplenomegalia[i]+B2[14]*Lymphadenopathy[i]+B2[15]*Radiotherapy[i] zeros [i] <- 0 zeros[i] ~ dpois (zero.mean[i]) zero.mean[i] <- -l[i]+C l[i]<-equals(cause[i],1)*L1[i]+ equals(cause[i],2)*L2[i]+ equals(cause[i],0)*L0[i] L1[i]<-log(theta1[i])+logh1time[i]-theta1[i]*H1time[i] logh1time[i]<-log(lambda1[1])*equals(D1[i],1)+ log(lambda1[2])*equals(D1[i],2)+ log(lambda1[3])*equals(D1[i],3)+ log(lambda1[4])*equals(D1[i],4) H1time[i]<- G1[i]+G2[i] G1[i]<- lambda1[1]*time[i]*equals(D1[i],1)+ (lambda1[1]*141+lambda1[2]*(time[i]-141))*equals(D1[i],2)+ ((lambda1[1]+lambda1[2])*141+lambda1[3]*(time[i]-282))*equals(D1[i],3) G2[i]<- ((lambda1[1]+lambda1[2]+lambda1[3])*141+lambda1[4]*(1-exp(-time[i]+423)))*equals(D1[i],4) L2[i]<- log(theta2[i])+logh2time[i]-theta2[i]*H2time[i]-((lambda1[1]+lambda1[2]+lambda1[3])*141+lambda1[4])*theta1[i] logh2time[i]<-log(lambda2[1])*equals(D2[i],1)+ log(lambda2[2])*equals(D2[i],2)+ log(lambda2[3])*equals(D2[i],3)+ log(lambda2[4])*equals(D2[i],4) H2time[i]<- F1[i]+F2[i] F1[i]<- lambda2[1]*time[i]*equals(D2[i],1)+ (lambda2[1]*92+lambda2[2]*(time[i]-92))*equals(D2[i],2)+ ((lambda2[1]+lambda2[2])*92+lambda2[3]*(time[i]-184))*equals(D2[i],3) F2[i]<- ((lambda2[1]+lambda2[2]+lambda2[3])*92+lambda2[4]*(time[i]-276))*equals(D2[i],4) L0[i]<-log(L00[i]) L00[i]<-exp(-H1time[i]*theta1[i])-(1-exp(-H2time[i]*theta2[i]))*(exp(-((lambda1[1]+lambda1[2]+lambda1[3])*141+lambda1[4])*theta1[i])) } for (j in 1:3) { lambda1[j] ~ dgamma(.01, .01) } lambda1[4] ~ dgamma(2,2) for (r in 1:4) { lambda2[r] ~ dgamma(.01, .01) } for(q in 1:15) { B1[q] ~ dnorm(0.0, 0.0001) B2[q] ~ dnorm(0.0, 0.0001) } } #initial list(B1=c(0,.1,.15,.17,.2,.24,.3,.33,.36,.4,.55,.6,.62,.7,.73), B2=c(.1,.14,.2,.23,.26,.3,.34,.41,.45,.46,.5,.55,.6,.67,.71), lambda1 = c(.1,.1,.1,.1),lambda2 = c(.1,.1,.1,.1)) #Data list(N = 200,D1=c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4), D2=c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4), Age=c(11, 9, 11, 5, 13, 4, 11, 2, 9, 16, 11, 9, 2, 13, 2, 4, 3, 1, 7, 3, 6, 13, 2, 2, 2, 8, 0.37, 12, 1, 10, 13, 2, 2, 4, 13, 4, 2, 5, 2.7, 2.3, 8, 13, 9, 2, 3.5, 12.5, 4, 3, 7, 3, 11, 13, 7, 4, 5, 5, 1, 4, 10, 3, 11, 5, 0.4, 3, 4, 2, 6, 2.5, 6, 2, 12, 3, 12, 6, 3, 3, 2, 11, 13, 2.5, 6, 7, 3, 3, 9, 0.83, 4, 2, 7, 2, 11, 2, 5, 4, 3, 4, 2, 2, 14, 2, 1, 3, 9, 2, 1, 3, 2, 4, 8, 5, 2, 3, 5, 3, 4, 2, 6, 9, 2, 1, 9, 4, 3, 7, 4, 12, 11, 2, 3, 13, 2, 10, 5, 8, 11, 8, 2, 9, 9, 3, 3, 6, 5, 7, 4, 5, 3, 4, 2, 2, 3, 9, 5, 4, 14, 2, 8, 2, 9, 3, 5, 4, 9, 4, 5, 9, 1, 1, 3, 2, 14, 5, 4, 3, 7, 1, 8, 13, 3, 4, 10, 3, 7, 7, 4, 6, 12, 4, 4, 3, 5, 5, 3, 3, 9, 7, 5, 3, 14, 8), Gender=c(1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0, 1, 0, 1), Treatment.course=c(1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0), WBC=c(3, 1, 1, 1, 1, 2, 1, 1, 2, 1, 4, 4, 1, 1, 3, 1, 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 4, 2, 4, 2, 1, 1, 1, 4, 1, 3, 1, 1, 1, 2, 1, 4, 1, 2, 1, 3, 2, 1, 1, 1, 3, 1, 2, 1, 1, 1, 4, 1, 1, 1, 4, 2, 3, 1, 2, 1, 2, 2, 1, 1, 2, 2, 1, 2, 1, 1, 2, 1, 1, 2, 1, 4, 2, 4, 1, 2, 1, 3, 1, 2, 1, 2, 1, 1, 2, 1, 1, 1, 4, 4, 3, 2, 1, 2, 3, 2, 2, 1, 1, 1, 1, 1, 2, 2, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 3, 2, 1, 1, 2, 1, 1, 3, 1, 1, 1, 2, 2, 1, 4, 1, 2, 1, 1, 1, 2, 1, 1, 2, 1, 4, 1, 1, 3, 1, 2, 2, 1, 1, 1, 1, 1, 1, 4), plt=c(21000, 19000, 82000, 44000, 298000, 49000, 38000, 55000, 15000, 56000, 26000, 350000, 12000, 297000, 1000, 90000, 50000, 3000, 10000, 39000, 10000, 30000, 72000, 109000, 389000, 17000, 94000, 31000, 27000, 175000, 148000, 57000, 102000, 76000, 300000, 29000, 18000, 11000, 17000, 46000, 11000, 65000, 402000, 23000, 40000, 178000, 63000, 20000, 58000, 86000, 40000, 183000, 19000, 167000, 10000, 28000, 216000, 211000, 32000, 548000, 13000, 4000, 1600, 11000, 25000, 17000, 7000, 22000, 45000, 93000, 481000, 97000, 76000, 47000, 3000, 303000, 42000, 347000, 99000, 52000, 41000, 45000, 173000, 17000, 156000, 415000, 17000, 70000, 80000, 45000, 422000, 330000, 79000, 423000, 7000, 400000, 3000, 31000, 16000, 16000, 58000, 17000, 123000, 41000, 16000, 8000, 116000, 9000, 140000, 15000, 36000, 36000, 40000, 29000, 38000, 3000, 12000, 70000, 200000, 28000, 6000, 52000, 31000, 35000, 8000, 93000, 136000, 45000, 81000, 0, 330000, 38000, 93000, 30000, 147000, 29000, 190000, 27000, 175000, 122000, 79000, 20000, 35000, 29900, 186000, 32000, 65000, 56000, 211000, 359000, 129000, 229000, 200000, 290000, 127000, 126000, 40000, 55000, 250000, 292000, 1000, 25000, 66000, 97000, 38000, 257000, 384000, 178000, 93000, 148000, 14000, 127000, 10000, 28000, 38000, 31000, 10000, 67000, 12000, 9000, 173000, 10000, 7000, 32000, 17000, 30000, 49000, 96000, 22000, 25000, 59000, 57000, 57000, 10000, 95000, 161000, 32000, 18000, 112000, 30000), LDH=c(236, 0, 604, 869, 823, 1549, 0, 403, 0, 496, 744, 3194, 697, 0, 1213, 1030, 0, 649, 346, 0, 1596, 240, 0, 0, 0, 2151, 480, 3699, 2731, 2532, 7900, 30, 300, 5666, 1577, 867, 733, 900, 533, 600, 0, 12402, 422, 1487, 879, 4231, 1918, 225, 661, 214, 0, 716, 1054, 0, 0, 2372, 0, 0, 0, 0, 0, 964, 1961, 0, 1554, 427, 848, 0, 0, 872, 335, 807, 1304, 665, 508, 0, 1451, 0, 862, 1078, 0, 0, 351, 1341, 0, 824, 0, 0, 617, 1245, 1256, 0, 0, 748, 0, 362, 410, 539, 642, 0, 1038, 615, 647000, 627, 1560, 1104, 500, 660, 1859, 566, 0, 0, 1399, 439, 1145, 512, 961, 1329, 0, 972, 0, 1419, 0, 471, 488, 0, 648, 6500, 1264, 0, 620, 408, 1342, 427, 719, 0, 840, 472, 282, 744, 8740, 484, 622, 1758, 492, 1052, 0, 642, 1656, 0, 1036, 538, 450, 0, 462, 1209, 0, 707, 476, 766, 602, 1987, 605, 3764, 1182, 516, 178, 384, 0, 618, 0, 2061, 886, 1289, 647, 1725, 0, 4599, 922, 442, 418, 1726, 410, 859, 1102, 1650, 1748, 435, 723, 1988, 1516, 1112, 0, 638, 856, 0, 490, 1019, 638, 8330), The.cell.line=c(1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 0, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), CNS=c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), hemorraahagic=c(0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), mediastinal.mass=c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), reumatoid.signs=c(0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 0, 1), tumor.lysis.synd=c(0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0),hepatosplenomegalia=c(0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1), Lymphadenopathy=c(0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 0), Radiotherapy=c(0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1), time=c(22, 24, 26, 31, 42, 44, 48, 74, 81, 92, 98, 98, 138, 138, 140, 141, 142, 146, 149, 171, 180, 200, 201, 219, 226, 234, 271, 279, 287, 287, 288, 373, 373, 381, 395, 397, 410, 420, 420, 422, 445, 457, 461, 462, 468, 472, 486, 486, 507, 511, 520, 520, 544, 566, 604, 615, 639, 647, 650, 683, 688, 705, 725, 749, 752, 765, 766, 769, 793, 793, 913, 915, 930, 930, 937, 944, 947, 961, 976, 994, 997, 1012, 1013, 1023, 1025, 1035, 1053, 1066, 1067, 1093, 1101, 1134, 1159, 1185, 1187, 1210, 1223, 1224, 1330, 1330, 1351, 1394, 1401, 1402, 1411, 1412, 1417, 1422, 1464, 1467, 1479, 1493, 1502, 1534, 1548, 1559, 1592, 1605, 1637, 1649, 1659, 1666, 1666, 1673, 1676, 1696, 1712, 1716, 1724, 1745, 1759, 1763, 1794, 1796, 1806, 1826, 1828, 1830, 1831, 1844, 1853, 1858, 1859, 1887, 1901, 1908, 1927, 1930, 1938, 1938, 1956, 1957, 1988, 2007, 2015, 2019, 2031, 2075, 2091, 2103, 2106, 2107, 2139, 2166, 2173, 2199, 2200, 2200, 2209, 2210, 2217, 2220, 2306, 2310, 2328, 2358, 2359, 2390, 2402, 2435, 2440, 2448, 2457, 2520, 2612, 2623, 2641, 2642, 2711, 2748, 2777, 2791, 2839, 2844, 2861, 2878, 2897, 2904, 2925, 2932), cause=c(2, 0, 2, 0, 0, 0, 2, 0, 1, 2, 0, 1, 0, 2, 1, 0, 0, 2, 0, 2, 1, 0, 0, 2, 2, 1, 2, 0, 1, 1, 1, 2, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 1, 0, 0, 0, 1, 2, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0) ) ........................................................................................................................................................................ # FG model model { # Set up data for(i in 1 : N) { for(j in 1 : T) { # risk set = 1 if obs.t >= t Y[i, j] <- step(obs.t[i] - t[j] + eps) # counting process jump = 1 if obs.t in [ t[j], t[j+1] ) # i.e. if t[j] <= obs.t < t[j+1] dN[i, j] <- Y[i, j ] *step(t[j+1] - obs.t[i] - eps)*(1-equals(fail[i],0))+Y[i, j ] *step(obs.t[i] -t[j] +eps)*equals(fail[i],2) } } # Model for(j in 1 : T) # T is the number of observed failure time { for(i in 1 : N) { dN[i, j] ~ dpois(Idt[i, j]) #1 for cause 1 and 2 for cause 2 Idt[i, j] <- equals(fail[i],1)*Y[i, j] *exp(b[1]*Age[i]+b[2]*Gender[i]+b[3]*Treatment.course[i]+b[4]*WBC[i]+ b[5]*plt[i]+b[6]*LDH[i]+b[7]*The.cell.line[i]+b[8]*CNS[i]+b[9]*hemorraahagic[i]+b[10]*mediastinal.mass[i]+b[11]*reumatoid.signs[i]+b[12]*tumor.lysis.synd[i]+b[13]*hepatosplenomegalia[i]+b[14]*Lymphadenopathy[i]+b[15]*Radiotherapy[i]) * dL0[j] } dL0[j] ~ dgamma(mu[j], c) mu[j] <- dL0.star[j] * c # prior mean hazard } for(k in 1 : p) { b[k] ~ dnorm(0.0, 0.0001) } c <- 2 r <-1 for (j in 1 : T) { dL0.star[j] <- r * (t[j+1]-t[j]) } } #INITS list( b=c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), dL0 = c(2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,2,2,2,2,2,2) ) #DATA list(N = 200,T=35,eps=0.00001,p=15, Age=c(11, 9, 11, 5, 13, 4, 11, 2, 9, 16, 11, 9, 2, 13, 2, 4, 3, 1, 7, 3, 6, 13, 2, 2, 2, 8, 0.37, 12, 1, 10, 13, 2, 2, 4, 13, 4, 2, 5, 2.7, 2.3, 8, 13, 9, 2, 3.5, 12.5, 4, 3, 7, 3, 11, 13, 7, 4, 5, 5, 1, 4, 10, 3, 11, 5, 0.4, 3, 4, 2, 6, 2.5, 6, 2, 12, 3, 12, 6, 3, 3, 2, 11, 13, 2.5, 6, 7, 3, 3, 9, 0.83, 4, 2, 7, 2, 11, 2, 5, 4, 3, 4, 2, 2, 14, 2, 1, 3, 9, 2, 1, 3, 2, 4, 8, 5, 2, 3, 5, 3, 4, 2, 6, 9, 2, 1, 9, 4, 3, 7, 4, 12, 11, 2, 3, 13, 2, 10, 5, 8, 11, 8, 2, 9, 9, 3, 3, 6, 5, 7, 4, 5, 3, 4, 2, 2, 3, 9, 5, 4, 14, 2, 8, 2, 9, 3, 5, 4, 9, 4, 5, 9, 1, 1, 3, 2, 14, 5, 4, 3, 7, 1, 8, 13, 3, 4, 10, 3, 7, 7, 4, 6, 12, 4, 4, 3, 5, 5, 3, 3, 9, 7, 5, 3, 14, 8), Gender=c(1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0, 1, 0, 1), Treatment.course=c(1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0), WBC=c(3, 1, 1, 1, 1, 2, 1, 1, 2, 1, 4, 4, 1, 1, 3, 1, 2, 1, 1, 1, 2, 1, 1, 1, 1, 1, 4, 2, 4, 2, 1, 1, 1, 4, 1, 3, 1, 1, 1, 2, 1, 4, 1, 2, 1, 3, 2, 1, 1, 1, 3, 1, 2, 1, 1, 1, 4, 1, 1, 1, 4, 2, 3, 1, 2, 1, 2, 2, 1, 1, 2, 2, 1, 2, 1, 1, 2, 1, 1, 2, 1, 4, 2, 4, 1, 2, 1, 3, 1, 2, 1, 2, 1, 1, 2, 1, 1, 1, 4, 4, 3, 2, 1, 2, 3, 2, 2, 1, 1, 1, 1, 1, 2, 2, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 3, 2, 1, 1, 2, 1, 1, 3, 1, 1, 1, 2, 2, 1, 4, 1, 2, 1, 1, 1, 2, 1, 1, 2, 1, 4, 1, 1, 3, 1, 2, 2, 1, 1, 1, 1, 1, 1, 4), plt=c(21000, 19000, 82000, 44000, 298000, 49000, 38000, 55000, 15000, 56000, 26000, 350000, 12000, 297000, 1000, 90000, 50000, 3000, 10000, 39000, 10000, 30000, 72000, 109000, 389000, 17000, 94000, 31000, 27000, 175000, 148000, 57000, 102000, 76000, 300000, 29000, 18000, 11000, 17000, 46000, 11000, 65000, 402000, 23000, 40000, 178000, 63000, 20000, 58000, 86000, 40000, 183000, 19000, 167000, 10000, 28000, 216000, 211000, 32000, 548000, 13000, 4000, 1600, 11000, 25000, 17000, 7000, 22000, 45000, 93000, 481000, 97000, 76000, 47000, 3000, 303000, 42000, 347000, 99000, 52000, 41000, 45000, 173000, 17000, 156000, 415000, 17000, 70000, 80000, 45000, 422000, 330000, 79000, 423000, 7000, 400000, 3000, 31000, 16000, 16000, 58000, 17000, 123000, 41000, 16000, 8000, 116000, 9000, 140000, 15000, 36000, 36000, 40000, 29000, 38000, 3000, 12000, 70000, 200000, 28000, 6000, 52000, 31000, 35000, 8000, 93000, 136000, 45000, 81000, 0, 330000, 38000, 93000, 30000, 147000, 29000, 190000, 27000, 175000, 122000, 79000, 20000, 35000, 29900, 186000, 32000, 65000, 56000, 211000, 359000, 129000, 229000, 200000, 290000, 127000, 126000, 40000, 55000, 250000, 292000, 1000, 25000, 66000, 97000, 38000, 257000, 384000, 178000, 93000, 148000, 14000, 127000, 10000, 28000, 38000, 31000, 10000, 67000, 12000, 9000, 173000, 10000, 7000, 32000, 17000, 30000, 49000, 96000, 22000, 25000, 59000, 57000, 57000, 10000, 95000, 161000, 32000, 18000, 112000, 30000), LDH=c(236, 0, 604, 869, 823, 1549, 0, 403, 0, 496, 744, 3194, 697, 0, 1213, 1030, 0, 649, 346, 0, 1596, 240, 0, 0, 0, 2151, 480, 3699, 2731, 2532, 7900, 30, 300, 5666, 1577, 867, 733, 900, 533, 600, 0, 12402, 422, 1487, 879, 4231, 1918, 225, 661, 214, 0, 716, 1054, 0, 0, 2372, 0, 0, 0, 0, 0, 964, 1961, 0, 1554, 427, 848, 0, 0, 872, 335, 807, 1304, 665, 508, 0, 1451, 0, 862, 1078, 0, 0, 351, 1341, 0, 824, 0, 0, 617, 1245, 1256, 0, 0, 748, 0, 362, 410, 539, 642, 0, 1038, 615, 647000, 627, 1560, 1104, 500, 660, 1859, 566, 0, 0, 1399, 439, 1145, 512, 961, 1329, 0, 972, 0, 1419, 0, 471, 488, 0, 648, 6500, 1264, 0, 620, 408, 1342, 427, 719, 0, 840, 472, 282, 744, 8740, 484, 622, 1758, 492, 1052, 0, 642, 1656, 0, 1036, 538, 450, 0, 462, 1209, 0, 707, 476, 766, 602, 1987, 605, 3764, 1182, 516, 178, 384, 0, 618, 0, 2061, 886, 1289, 647, 1725, 0, 4599, 922, 442, 418, 1726, 410, 859, 1102, 1650, 1748, 435, 723, 1988, 1516, 1112, 0, 638, 856, 0, 490, 1019, 638, 8330), The.cell.line=c(1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 0, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), CNS=c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), hemorraahagic=c(0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), mediastinal.mass=c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), reumatoid.signs=c(0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 0, 1), tumor.lysis.synd=c(0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0),hepatosplenomegalia=c(0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1), Lymphadenopathy=c(0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 0), Radiotherapy=c(0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1), obs.t=c(22, 24, 26, 31, 42, 44, 48, 74, 81, 92, 98, 98, 138, 138, 140, 141, 142, 146, 149, 171, 180, 200, 201, 219, 226, 234, 271, 279, 287, 287, 288, 373, 373, 381, 395, 397, 410, 420, 420, 422, 445, 457, 461, 462, 468, 472, 486, 486, 507, 511, 520, 520, 544, 566, 604, 615, 639, 647, 650, 683, 688, 705, 725, 749, 752, 765, 766, 769, 793, 793, 913, 915, 930, 930, 937, 944, 947, 961, 976, 994, 997, 1012, 1013, 1023, 1025, 1035, 1053, 1066, 1067, 1093, 1101, 1134, 1159, 1185, 1187, 1210, 1223, 1224, 1330, 1330, 1351, 1394, 1401, 1402, 1411, 1412, 1417, 1422, 1464, 1467, 1479, 1493, 1502, 1534, 1548, 1559, 1592, 1605, 1637, 1649, 1659, 1666, 1666, 1673, 1676, 1696, 1712, 1716, 1724, 1745, 1759, 1763, 1794, 1796, 1806, 1826, 1828, 1830, 1831, 1844, 1853, 1858, 1859, 1887, 1901, 1908, 1927, 1930, 1938, 1938, 1956, 1957, 1988, 2007, 2015, 2019, 2031, 2075, 2091, 2103, 2106, 2107, 2139, 2166, 2173, 2199, 2200, 2200, 2209, 2210, 2217, 2220, 2306, 2310, 2328, 2358, 2359, 2390, 2402, 2435, 2440, 2448, 2457, 2520, 2612, 2623, 2641, 2642, 2711, 2748, 2777, 2791, 2839, 2844, 2861, 2878, 2897, 2904, 2925, 2932), t=c(22, 26, 48, 81, 92, 98, 138, 140, 146, 171, 180, 219, 226, 234, 271, 287, 288, 373, 381, 445, 520, 566, 604, 650, 683, 688, 752, 793, 913, 961, 1134, 1210, 1351, 1411, 1712, 2199), fail=c(2, 0, 2, 0, 0, 0, 2, 0, 1, 2, 0, 1, 0, 2, 1, 0, 0, 2, 0, 2, 1, 0, 0, 2, 2, 1, 2, 0, 1, 1, 1, 2, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 1, 0, 0, 0, 1, 2, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0) ) ------------------------------------------------------------------- This list is for discussion of modelling issues and the BUGS software. For help with crashes and error messages, first mail [log in to unmask] To mail the BUGS list, mail to [log in to unmask] Before mailing, please check the archive at www.jiscmail.ac.uk/lists/bugs.html Please do not mail attachments to the list. To leave the BUGS list, send LEAVE BUGS to [log in to unmask] If this fails, mail [log in to unmask], NOT the whole list