#  Here are the MAC survival data in WinBUGS format:

list(NSITES=10, nsub=c(4,2,1,10,8,18,6,13,4,3),
 t1=c(NA,248,NA,344), t1.cen=c(74,0,272,0),
 t2=c(NA,NA), t2.cen=c(4,156),
 t3=c(NA), t3.cen=c(100),
 t4=c(NA,64,88,NA,NA,NA,NA,NA,NA,NA), t4.cen=c(20,0,0,148,162,184,188,198,382,436),
 t5=c(NA,NA,82,NA,NA,214,NA,262), t5.cen=c(50,64,0,186,214,0,228,0),
 t6=c(6,NA,76,80,202,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,162),t6.cen=c(0,16,0,0,0,258,268,368,380,424,428,436,22,22,74,88,148,0),
 t7=c(NA,NA,102,NA,NA,NA), t7.cen=c(32,64,0,162,182,364),
 t8=c(8,NA,40,NA,NA,NA,NA,276,NA,366,NA,NA,NA), t8.cen=c(0,16,0,120,168,174,268,0,286,0,396,466,468),
 t9=c(NA,NA,NA,254), t9.cen=c(18,36,160,0),
 t10=c(NA,NA,NA), t10.cen=c(28,70,106),
 X1=c(1,2,1,2), X2=c(2,1), X3=c(2), X4=c(2,2,2,2,1,1,1,1,1,1), 
 X5=c(1,2,2,1,1,1,2,2),X6=c(1,2,1,2,2,1,1,2,1,1,2,2,2,1,1,1,1,2), 
 X7=c(2,1,1,2,2,1), X8=c(2,2,2,1,1,2,1,2,1,1,2,2,1), X9=c(1,1,2,2), 
 X10=c(1,1,2))
	



#  Here is MAC data distance matrix (needed only for geostat model) 
#  for the 10 spatially unique clinical sites in the MAC treatment 
#  data set.  Here the distances have been scaled so that the largest 
#  (New York-San Francisco) equals 1

 d[,1]  d[,2]  d[,3]  d[,4]  d[,5]  d[,6]  d[,7]  d[,8]  d[,9] d[,10]
0.0000 0.4562 0.0806 1.0000 0.9503 0.1872 0.2918 0.1126 0.0319 0.7062
0.4562 0.0000 0.3758 0.7492 0.8028 0.3662 0.1652 0.3484 0.4247 0.4003
0.0806 0.3758 0.0000 0.9492 0.9151 0.1538 0.2112 0.0373 0.0489 0.6425
1.0000 0.7492 0.9492 0.0000 0.2085 0.8135 0.8323 0.9496 0.9821 0.3489
0.9503 0.8028 0.9151 0.2085 0.0000 0.7656 0.8452 0.9242 0.9387 0.4315
0.1872 0.3662 0.1538 0.8135 0.7656 0.0000 0.2328 0.1733 0.1732 0.5310
0.2918 0.1652 0.2112 0.8323 0.8452 0.2328 0.0000 0.1833 0.2601 0.4948
0.1126 0.3484 0.0373 0.9496 0.9242 0.1733 0.1833 0.0000 0.0809 0.6350
0.0319 0.4247 0.0489 0.9821 0.9387 0.1732 0.2601 0.0809 0.0000 0.6827
0.7062 0.4003 0.6425 0.3489 0.4315 0.5310 0.4948 0.6350 0.6827 0.0000