% Here are two versions of the Stanford Heart Transplant data.  The
% first is from Kalbfleisch and Prentice (first edition) while the second is
% from from Crowley and Hu.  The two versions are slightly different, and the
% X matrix is sufficiently ill-conditioned that the variations make a big
% difference.  Thanks to Terry Therneau for noticing the problems and
% providing both data sets.
% 
%
% Note: Here the Kalbfleisch and Prentice data is used.
%
%
% Information about the dataset
% CLASSTYPE: numeric
% CLASSINDEX: none specific
%

@relation stanford

@attribute Patient_id INTEGER
@attribute Year_of_acceptance INTEGER
@attribute Age INTEGER
@attribute Survival_Status {alive,dead}
@attribute Survival_Time INTEGER
@attribute Prior_Surgery {no,yes}
@attribute Transplant_Status {not_transplanted,transplanted}
@attribute Waiting_Time_for_Transplant INTEGER
@attribute Mismatch_on_alleles INTEGER
@attribute Mismatch_on_antigen INTEGER
@attribute Mismatch_score REAL

@data
15,68,53,dead,1,no,not_transplanted,?,?,?,?
43,70,43,dead,2,no,not_transplanted,?,?,?,?
61,71,52,dead,2,no,not_transplanted,?,?,?,?
75,72,52,dead,2,no,not_transplanted,?,?,?,?
6,68,54,dead,3,no,not_transplanted,?,?,?,?
42,70,36,dead,3,no,not_transplanted,?,?,?,?
54,71,47,dead,3,no,not_transplanted,?,?,?,?
38,70,41,dead,5,no,transplanted,5,3,0,0.87
85,73,47,dead,5,no,not_transplanted,?,?,?,?
2,68,51,dead,6,no,not_transplanted,?,?,?,?
103,67,39,dead,6,no,not_transplanted,?,?,?,?
12,68,53,dead,8,no,not_transplanted,?,?,?,?
48,71,56,dead,9,no,not_transplanted,?,?,?,?
102,74,40,alive,11,no,not_transplanted,?,?,?,?
35,70,43,dead,12,no,not_transplanted,?,?,?,?
95,73,40,dead,16,no,transplanted,2,0,0,0
31,69,54,dead,16,no,not_transplanted,?,?,?,?
3,68,54,dead,16,no,transplanted,1,2,0,1.1
74,72,29,dead,17,no,transplanted,5,1,0,0.69
5,68,20,dead,18,no,not_transplanted,?,?,?,?
77,72,41,dead,21,no,not_transplanted,?,?,?,?
99,73,49,dead,21,no,not_transplanted,?,?,?,?
20,69,55,dead,28,no,transplanted,1,3,1,2.76
70,72,52,dead,30,no,transplanted,5,3,1,1.68
101,74,49,alive,31,no,not_transplanted,?,?,?,?
66,72,53,dead,32,no,not_transplanted,?,?,?,?
29,69,50,dead,35,no,not_transplanted,?,?,?,?
17,68,20,dead,36,no,not_transplanted,?,?,?,?
19,68,59,dead,37,no,not_transplanted,?,?,?,?
4,68,40,dead,39,no,transplanted,36,3,0,?
100,74,35,alive,39,yes,transplanted,38,3,0,?
8,68,45,dead,40,no,not_transplanted,?,?,?,?
44,70,42,dead,40,no,not_transplanted,?,?,?,?
16,68,56,dead,43,no,transplanted,20,3,0,?
45,71,36,dead,45,no,transplanted,1,1,0,?
1,67,30,dead,50,no,not_transplanted,?,?,?,?
22,69,42,dead,51,no,transplanted,12,3,0,?
39,70,50,dead,53,no,transplanted,2,0,0,?
10,68,42,dead,58,no,transplanted,12,2,1,?
35,71,52,dead,61,no,transplanted,10,2,1,?
37,70,61,dead,66,no,transplanted,19,3,0,?
68,72,45,dead,68,no,transplanted,3,3,0,?
60,71,49,dead,68,no,transplanted,3,3,0,?
62,71,39,dead,69,no,not_transplanted,?,?,?,?
28,69,53,dead,72,no,transplanted,71,2,0,?
47,71,47,dead,72,no,transplanted,21,3,0,?
32,69,64,dead,77,no,transplanted,17,4,0,?
65,72,51,dead,78,no,transplanted,12,2,0,?
83,73,53,dead,80,no,transplanted,32,4,0,?
13,68,54,dead,81,no,transplanted,17,3,0,?
9,68,47,dead,85,no,not_transplanted,?,?,?,?
73,72,56,dead,90,no,transplanted,27,3,1,?
79,72,53,dead,96,no,transplanted,67,2,0,?
36,70,48,dead,100,no,transplanted,46,2,0,?
32,71,41,dead,102,no,not_transplanted,?,?,?,?
98,73,28,alive,109,no,transplanted,96,4,1,?
87,73,46,dead,110,no,transplanted,60,2,0,?
97,73,23,alive,131,no,transplanted,21,3,1,?
37,71,41,dead,149,no,not_transplanted,?,?,?,?
11,68,47,dead,153,no,transplanted,26,1,0,?
94,73,43,dead,165,yes,transplanted,4,3,0,?
96,73,26,alive,180,no,transplanted,13,2,0,?
90,73,52,dead,186,yes,transplanted,160,3,1,0.82
53,71,47,dead,188,no,transplanted,41,0,0,0.00
89,73,51,dead,207,no,transplanted,139,4,1,1.33
24,69,51,dead,219,no,transplanted,83,3,1,1.62
27,69,8,dead,263,no,not_transplanted,?,?,?,?
93,73,47,alive,265,no,transplanted,28,2,0,0.33
51,71,48,dead,285,no,transplanted,32,4,1,1.08
67,73,19,dead,285,no,transplanted,57,3,0,1.02
16,68,49,dead,308,no,transplanted,28,2,0,1.12
84,73,42,dead,334,no,transplanted,37,4,0,0.60
91,73,47,dead,340,no,not_transplanted,?,?,?,?
92,73,44,alive,340,no,transplanted,310,1,0,0.16
58,71,47,dead,342,yes,transplanted,21,2,1,1.82
88,73,54,alive,370,no,transplanted,31,3,0,0.68
86,73,48,alive,397,no,transplanted,8,3,1,1.44
82,71,29,alive,427,no,not_transplanted,?,?,?,?
81,73,52,alive,445,no,transplanted,6,4,1,1.94
80,72,46,alive,482,yes,transplanted,26,3,0,1.41
78,72,48,alive,515,no,transplanted,210,3,0,0.81
76,72,52,alive,545,yes,transplanted,46,3,1,1.70
64,72,48,dead,583,yes,transplanted,32,1,0,0.12
72,72,26,alive,596,no,transplanted,4,3,1,1.46
71,72,47,alive,630,no,transplanted,31,3,0,0.97
69,72,47,alive,670,no,transplanted,10,2,0,1.20
7,68,50,dead,675,no,transplanted,51,4,0,1.32
23,69,58,dead,733,no,transplanted,3,3,0,0.96
63,71,32,alive,841,no,transplanted,27,3,1,1.93
30,69,44,dead,852,no,transplanted,16,4,0,1.58
59,71,41,alive,915,no,transplanted,78,2,0,0.19
56,71,38,alive,941,no,transplanted,67,4,0,0.98
50,71,45,dead,979,yes,transplanted,83,0,0,0.00
46,71,48,dead,995,yes,transplanted,2,2,0,0.81
21,69,43,dead,1032,no,transplanted,8,2,0,1.13
49,71,36,alive,1141,yes,transplanted,36,4,0,1.35
41,70,45,alive,1321,yes,transplanted,58,2,0,0.98
14,68,53,dead,1386,no,transplanted,37,1,0,0.87
26,69,30,alive,1400,no,not_transplanted,?,?,?,?
40,70,48,alive,1407,yes,transplanted,41,4,0,0.75
34,69,40,alive,1571,no,transplanted,23,2,0,0.38
33,69,48,alive,1586,no,transplanted,51,3,0,0.91
25,69,33,alive,1799,no,transplanted,25,2,0,1.06
