survival 1.1.37

A high-performance survival analysis library written in Rust with Python bindings
Documentation
rownames,id,time,status,age,t5
139,139,86,1,12,1.26
159,159,10,1,13,1.49
181,181,60,0,13,
119,119,1116,0,14,0.54
74,74,2006,0,15,1.26
120,120,1107,0,18,0.25
99,99,1232,1,18,0.7
108,108,42,1,19,0.63
179,179,98,0,19,
43,43,227,1,19,1.02
134,134,793,0,19,1.98
160,160,5,1,20,
177,177,119,0,20,
153,153,534,0,20,
136,136,781,0,20,1.12
133,133,1,1,21,0.47
176,176,149,0,21,
66,66,1634,1,23,1.78
157,157,468,0,24,1.39
114,114,1193,0,24,1.15
46,46,631,1,26,1.46
65,65,2313,0,26,0.46
184,184,1,0,27,
88,88,22,1,27,1.64
182,182,56,0,27,
180,180,89,0,27,
163,163,391,0,27,1.17
84,84,1778,0,27,0.7
90,90,7,1,28,1
68,68,48,1,28,0.77
48,48,12,1,29,0.61
174,174,176,0,29,1.72
151,151,548,0,30,0.47
125,125,993,0,30,0.95
73,73,2025,0,30,1.44
105,105,274,1,31,0.58
117,117,1150,1,32,2.25
96,96,1271,1,32,1.05
39,39,2723,1,32,1.93
38,38,2984,0,32,0.19
106,106,31,1,33,0.36
14,14,1961,1,33,1.06
123,123,30,1,34,0.84
135,135,328,1,34,1.02
111,111,1262,0,34,1.68
83,83,68,1,35,0.85
143,143,221,1,35,1.04
69,69,2127,1,35,0.67
27,27,44,1,36,0
113,113,47,1,36,0.16
167,167,322,0,36,1.73
156,156,382,1,36,
141,141,663,0,36,0.47
30,30,1478,1,36,1.35
144,144,90,1,38,1
158,158,464,0,38,2.07
79,79,731,1,38,0.42
102,102,1202,1,38,
77,77,1945,0,38,1.28
36,36,3021,0,38,0.98
183,183,2,0,39,
122,122,195,1,39,0.73
162,162,406,0,39,1.18
121,121,1102,0,39,1.35
87,87,1718,0,39,1.77
2,2,3,1,40,1.66
64,64,14,1,40,
150,150,549,0,40,2.53
85,85,1722,0,40,0.95
71,71,2106,0,40,0.86
19,19,3695,0,40,0.38
21,21,0.5,1,41,0.87
175,175,138,1,41,
169,169,278,0,41,0.98
148,148,563,0,41,
138,138,738,0,41,0.53
98,98,1247,1,41,0.43
104,104,1373,0,41,1.38
103,103,1378,0,41,1.65
12,12,39,1,42,1.38
89,89,40,1,42,1.59
3,3,46,1,42,0.61
100,100,191,1,42,1.74
55,55,297,1,42,0.6
142,142,660,0,42,0.75
63,63,161,1,43,1.2
168,168,292,0,43,1.4
72,72,293,1,43,0.7
137,137,752,0,43,1.5
10,10,1024,1,43,1.13
124,124,1040,0,43,0.5
17,17,836,1,44,1.58
94,94,1534,1,44,1.71
82,82,1846,0,44,0.83
170,170,22,1,45,
149,149,36,1,45,0.2
42,42,65,1,45,1.68
128,128,121,1,45,
67,67,146,1,45,0.16
109,109,381,1,45,0.98
75,75,2000,0,45,1.46
26,26,3410,0,45,0.98
97,97,44,1,46,1.71
58,58,50,1,46,2.25
178,178,107,0,46,
140,140,132,1,46,1.09
32,32,897,1,46,
126,126,950,0,46,
51,51,1384,1,46,1.41
101,101,1393,0,46,0.95
29,29,51,1,47,1.38
33,33,148,1,47,
164,164,374,0,47,
60,60,431,1,47,0.33
152,152,541,0,47,0.43
145,145,619,0,47,0.9
112,112,1261,0,47,0.82
76,76,1995,0,47,1.65
47,47,2734,0,47,0.97
118,118,45,1,48,0.65
5,5,126,1,48,0.36
129,129,202,1,48,1.24
31,31,254,1,48,1.08
35,35,323,1,48,1.82
40,40,550,1,48,0.12
130,130,841,0,48,0.86
28,28,994,1,48,0.81
56,56,1318,1,48,1.44
91,91,1638,0,48,0.43
44,44,2805,0,48,1.2
23,23,54,1,49,2.09
37,37,66,1,49,0.66
70,70,263,1,49,0.48
132,132,265,1,49,1.22
9,9,279,1,49,1.12
81,81,538,1,49,2.76
59,59,547,1,49,0.81
127,127,729,1,49,1.1
131,131,834,0,49,
80,80,1866,0,49,0.51
20,20,1996,1,49,0.91
25,25,2878,1,49,0.75
165,165,50,1,50,0.5
24,24,51,1,50,
172,172,145,1,50,0.96
146,146,618,0,50,0.82
86,86,928,1,50,1.12
107,107,1341,0,50,1.13
95,95,1547,0,50,0.18
116,116,48,1,51,0.99
41,41,66,1,51,1.12
61,61,68,1,51,1.33
155,155,122,1,51,1.33
166,166,139,1,51,0.96
154,154,169,1,51,1.89
4,4,623,1,51,1.32
92,92,1612,0,51,1.25
93,93,25,1,52,0.53
62,62,26,1,52,0.82
34,34,51,1,52,1.51
15,15,136,1,52,1.62
173,173,188,0,52,
171,171,231,0,52,
52,52,544,1,52,1.94
110,110,1264,0,52,0.64
50,50,2474,1,52,1.7
45,45,25,1,53,1.68
53,53,29,1,53,1.08
54,54,48,1,53,3.05
147,147,576,0,53,2.25
115,115,626,1,53,1.74
16,16,1,1,54,0.47
1,1,15,1,54,1.11
6,6,64,1,54,1.89
7,7,1350,1,54,0.87
57,57,1352,1,54,0.68
78,78,65,1,55,0.69
161,161,136,1,55,
11,11,10,1,56,2.76
8,8,23,1,56,2.05
49,49,63,1,56,2.16
13,13,730,1,58,0.96
22,22,47,1,62,0.87
18,18,60,1,64,0.69