survival 1.1.31

A high-performance survival analysis library written in Rust with Python bindings
Documentation
rownames,id,age,sex,dxyr,pcdx,pctime,futime,death,alb,creat,hgb,mspike
1,1,78,female,68,,,748,1,2.8,1.2,11.5,2
2,2,73,female,66,LP,1310,6751,1,,,,1.3
3,3,87,male,68,,,277,1,2.2,1.1,11.2,1.3
4,4,86,male,69,,,1815,1,2.8,1.3,15.3,1.8
5,5,74,female,68,,,2587,1,3,0.8,9.8,1.4
6,6,81,male,68,,,563,1,2.9,0.9,11.5,1.8
7,7,72,female,68,,,1135,1,3,0.8,13.5,1.3
8,8,79,female,69,,,2016,1,3.1,0.8,15.5,1.4
9,9,85,female,70,,,2422,1,3.2,1,12.4,1.5
10,10,58,male,65,,,6155,1,3.5,1,14.8,2.2
11,11,79,male,62,,,1767,1,3.7,,10.6,2.1
12,12,78,male,68,,,61,1,2.1,2,12.7,1.5
13,13,83,male,64,,,60,1,2.7,,12.8,1.8
14,14,66,male,69,,,8918,1,3.2,1.3,15.3,1.9
15,15,80,male,69,,,8309,1,3.1,,14.5,1.8
16,16,57,female,66,AM,6126,7921,1,3.4,0.8,12.2,1.9
17,17,54,female,68,MM,3585,5231,1,3,1.1,11.1,2
18,18,71,male,67,,,5392,1,3.2,0.9,13.5,1.5
19,19,72,female,69,MM,5925,6415,1,3.1,1.2,14.3,1.8
20,20,59,female,70,AM,6778,6778,1,3.5,0.8,14.6,1.3
21,21,72,male,59,MM,3561,4505,1,2.8,1.4,12.5,1.7
22,22,62,female,67,MM,3991,4726,1,2.8,0.9,12.3,1.7
23,23,68,male,69,,,5550,1,3,1,15.3,1.7
24,24,77,female,70,,,5216,1,3,0.8,12.7,1.3
25,25,69,female,69,,,5757,1,3.1,0.9,14.9,1.8
26,26,75,male,70,,,2339,1,3.7,0.9,14.6,2.3
27,27,72,female,65,,,6931,1,3.5,0.8,11.3,2.7
28,28,62,female,69,,,6760,1,3,1.1,14.3,2.1
29,29,74,female,70,,,5796,1,4,0.9,13.6,1.8
30,30,76,female,66,MM,4791,5143,1,3.3,0.7,11.7,1.5
31,31,55,male,61,MA,5945,6166,1,,,9.8,1.1
32,32,73,female,73,MM,700,1706,1,3.3,0.7,13.7,0.9
33,33,60,male,64,,,5127,1,,,14.6,1.1
34,34,62,female,72,MM,954,2476,1,3.8,0.7,12.8,1.8
35,35,58,male,68,,,1711,1,3.4,0.9,11.8,1.6
36,36,64,female,70,,,11865,0,3.7,,13.7,1.8
37,37,66,female,63,,,1857,1,3.3,,12.5,3.2
38,38,55,female,63,MM,9510,9603,1,3.8,0.8,12.5,1.9
39,39,76,male,69,,,31,1,2.6,1.1,10.4,1.7
40,40,73,female,70,,,8552,1,3.3,0.9,13.7,2
41,41,76,female,70,,,2006,1,3.3,0.9,13.3,2.3
42,42,68,female,63,MM,2618,2970,1,3.6,1,11.8,1.8
43,43,60,female,66,,,13152,1,3.2,,13.7,1.7
44,44,70,male,69,,,3924,1,2.6,1.1,10.7,1.7
45,45,66,male,67,MM,4198,5293,1,3.5,1.2,12.8,1.4
46,46,66,male,65,,,283,1,3.4,,12.4,1.8
47,47,81,male,67,,,2223,1,2.2,0.6,12.6,1.1
48,48,61,female,67,,,4249,1,3.7,1.7,11.7,1.8
49,49,80,female,70,,,5308,1,3.5,0.8,14.3,1.7
50,50,73,female,65,,,8327,1,3.3,0.8,12.2,2
51,51,66,female,66,,,499,1,3.3,,10.2,1.7
52,52,77,male,70,,,5779,1,3.5,1.6,13.5,1.5
53,53,46,female,70,,,11719,0,4.3,0.8,13.7,1.6
54,54,59,female,67,LP,2618,2651,1,3,0.8,11.1,1.5
55,55,58,female,60,MM,10359,10852,1,3.3,0.8,12.4,1.8
56,56,58,male,70,,,362,1,3.6,1,14.9,2.4
57,57,54,male,63,,,12931,1,3.6,1.2,13.6,1.2
58,58,64,male,66,MM,1795,3562,1,3.2,1,15,2
59,59,73,male,60,MM,4139,4826,1,3.3,1.3,13.7,1.1
60,60,68,male,70,,,4961,1,,1,13.3,1.6
61,61,77,male,70,,,547,1,,1.5,12.6,1.9
62,62,73,female,70,,,4133,1,3.8,1,12.6,2.6
63,63,44,female,67,,,13019,0,3.4,0.8,13.3,2.2
64,64,84,male,63,,,1674,1,3.6,1.1,13.9,1.8
65,65,48,male,67,MM,2953,3786,1,,,13.4,2.3
66,66,69,male,68,,,1369,1,3.3,1,13,1.8
67,67,59,female,69,,,8421,1,3,2.6,12.7,1.9
68,68,58,female,59,MM,7519,9318,1,,1.1,15.3,2
69,69,67,female,70,,,4370,1,,0.9,15,0.8
70,70,61,male,70,,,7817,1,2.9,0.9,15.7,1.3
71,71,50,female,66,MM,1642,4169,1,3.2,0.7,11,2.1
72,72,48,male,70,,,9618,1,3.7,0.7,15.7,1.8
73,73,72,male,70,,,6132,1,3.9,,16.5,1.8
74,74,52,male,69,MM,4534,7235,1,3.6,1.1,16.5,1.6
75,75,59,male,70,,,6727,1,3.6,0.7,12.7,1.8
76,76,58,male,66,,,7428,1,3.6,0.9,12.6,1.5
77,77,65,male,70,AM,2106,4071,1,3.6,1,12.6,1.7
78,78,56,female,66,,,1673,1,3.1,0.8,11.8,2.4
79,79,74,male,66,,,2865,1,3.1,1.5,11.3,1.4
80,80,78,male,68,,,6,1,2.5,1.5,13.6,2.2
81,81,58,male,68,MM,3790,4807,1,2.1,0.9,9.7,1.4
82,82,76,female,68,,,4206,1,3.2,1.2,11,2.1
83,83,50,male,65,MM,2314,4065,1,3.5,,14.5,1.6
84,84,50,female,66,,,10164,1,3.4,0.8,14.6,1.3
85,85,77,male,64,,,6143,1,3.1,1.2,12.2,1.3
86,86,70,female,70,,,533,1,2.9,0.7,14.5,2
87,87,51,female,70,LP,3817,12016,0,,0.8,13.9,1.9
88,88,78,female,70,,,2815,1,3.9,1,14.9,1.8
89,89,43,female,60,,,8806,1,3.2,,13,1.4
90,90,59,male,70,,,9019,1,3.3,1.7,12.8,2.4
91,91,56,male,56,,,14111,1,3.8,1.1,13.9,2.2
92,92,56,female,59,,,8600,1,3.4,,13,2
93,93,55,male,70,,,11506,1,3.9,1,15.3,1.7
94,94,55,male,67,,,2445,1,3.5,1,15.4,1.1
95,95,61,male,69,MM,1826,2403,1,2.9,1.2,14.3,2.2
96,96,58,male,64,MM,3805,4901,1,3.7,,13.9,1.1
97,97,75,female,70,,,370,1,2.7,0.9,12.4,1.4
98,98,54,male,62,,,6642,1,3.2,0.9,14.6,2.2
99,99,63,male,64,,,3318,1,3.2,1.1,15.3,1.8
100,100,76,male,68,,,3012,1,3,1.2,11.9,1.4
101,101,34,male,62,MM,365,2223,1,3.7,1.1,13.8,1.7
102,102,46,male,58,MA,4957,5982,1,2.3,,15.9,2.2
103,103,71,female,70,,,652,1,3.1,6.4,11.2,1.5
104,104,53,female,65,MM,3346,4996,1,2.8,0.7,12.6,1.7
105,105,53,female,70,LP,6804,9081,1,3.4,1.1,13.9,1.2
106,106,60,male,66,,,9978,1,3.7,1.1,13.7,2.4
107,107,63,male,70,,,5024,1,3.3,0.9,13.1,1.5
108,108,63,male,70,,,2833,1,3.4,1,13.4,1.7
109,109,53,female,69,MM,4228,5238,1,3.4,1,14.8,1.5
110,110,87,male,70,,,3186,1,2.7,0.9,13.5,1.8
111,111,50,female,59,AM,3386,3386,1,3.3,1.1,12.6,1.9
112,112,54,male,68,,,8978,1,3.5,1,13.6,1.1
113,113,58,male,59,,,1766,1,2.6,,13,2.5
114,114,55,female,60,MA,5692,8059,1,,,13,2
115,115,58,female,67,,,6008,1,,1,10.7,2.7
116,116,68,male,60,,,5047,1,3.8,,12,2
117,117,49,female,65,,,2236,1,3.5,1.1,12.9,1.7
118,118,65,female,68,,,8529,1,,,11.8,1.8
119,119,70,female,61,,,4230,1,,,12.6,0.9
120,120,80,male,69,,,2844,1,2.3,,14.5,1.3
121,121,69,male,70,,,6256,1,3.3,1.1,14.4,1.7
122,122,49,female,70,,,11892,0,,0.9,12.4,2
123,123,51,female,62,,,3560,1,2.8,0.6,8.4,1.6
124,124,69,male,62,AM,4912,4946,1,2.4,,14.3,1.3
125,125,66,female,70,AM,2216,3062,1,3.4,0.9,12.8,1.5
126,126,48,female,62,,,152,1,3.6,,14.5,0.3
127,127,54,female,62,,,12618,1,3.3,,13.2,1.8
128,128,65,male,68,,,3226,1,3,0.9,13.6,2
129,129,72,female,69,,,3958,1,3,0.8,14.5,1.2
130,130,85,male,64,,,531,1,2.4,,12.5,1.6
131,131,64,female,67,,,11861,1,2.6,1.1,12.9,1.9
132,132,66,male,69,,,845,1,1.9,0.8,9.6,1.7
133,133,86,male,69,,,2099,1,2.1,1,9.6,1.6
134,134,59,female,63,LP,2912,8055,1,3.9,0.8,12.1,2
135,135,51,female,63,,,10504,1,3.3,1,15.2,2.3
136,136,85,male,69,,,7,1,3,1,10.8,1.2
137,137,34,female,71,,,11498,0,,0.9,15.7,1.6
138,138,71,male,70,,,7928,1,3.4,0.9,14.2,1.7
139,139,35,female,68,MM,11354,12726,0,3.5,0.9,12.7,1.6
140,140,55,male,64,,,809,1,3,3.5,9.8,2.2
141,141,90,male,68,,,153,1,2.7,,11.9,2.3
142,142,66,male,70,,,1851,1,4.5,0.9,16.2,1.9
143,143,63,male,70,,,3010,1,3.7,1.2,13.7,1.7
144,144,61,female,64,,,2121,1,,1.7,10.5,2
145,145,50,female,65,,,7085,1,1.8,1.3,8.4,2.5
146,146,52,female,65,,,5084,1,,0.6,12.6,2.1
147,147,74,female,70,,,7246,1,2.6,1,14.5,1.5
148,148,66,female,67,,,5930,1,3.2,1.1,14.8,2.4
149,149,47,female,65,,,6147,1,3.1,1.4,11.4,1.7
150,150,68,male,68,,,9607,1,3.1,1.2,13.3,1.8
151,151,77,male,69,,,791,1,2.4,1.2,11,1.5
152,152,75,male,66,,,6626,1,2.9,,10.8,2
153,153,73,male,66,,,3962,1,2.7,,11.7,2.2
154,154,58,female,66,MM,1249,1255,1,3.1,,11.3,1.7
155,155,59,male,64,,,11030,1,,,12.9,2.5
156,156,63,male,66,,,1077,1,3,,12.1,1.8
157,157,82,male,69,,,566,1,2.3,3.6,12.5,2.9
158,158,64,male,66,,,174,1,3.3,,11.1,1.7
159,159,64,female,69,MM,4626,5022,1,2.9,1,13.2,2.6
160,160,65,male,67,MM,2070,3021,1,3.5,,13.5,1.5
161,161,70,male,69,,,1625,1,3.4,3.7,9.5,1.4
162,162,71,female,67,,,6607,1,3.1,,11.7,2.3
163,163,36,male,67,,,12689,0,3.7,0.9,11.4,2.4
164,164,41,female,67,MM,11685,11709,1,3.5,,14.5,2.1
165,165,53,female,67,,,1005,1,3.4,0.7,14.8,2.2
166,166,62,male,67,MM,3913,4246,1,3.1,1.3,14.8,1.4
167,167,55,female,67,MM,6970,11425,1,3.1,0.8,12.4,1.8
168,168,51,male,67,MA,2861,9818,1,,1.1,13.6,2.3
169,169,50,male,68,,,3227,1,3.2,,15,1.5
170,170,49,female,68,MM,9723,11340,1,3,0.9,12.7,1.7
171,171,62,male,68,,,9953,1,3.1,1.1,13.7,1.8
172,172,66,male,68,,,39,1,3.2,1.1,13.2,1.7
173,173,80,male,68,,,2451,1,3.2,,14.9,1.7
174,174,68,female,68,,,518,1,2.8,0.9,13.4,1.7
175,175,75,male,68,,,4758,1,2.8,0.9,10.8,1.8
176,176,53,female,68,MM,8943,9267,1,3.3,0.9,12.6,1.6
177,177,47,female,68,MM,8948,9101,1,3,1,13.1,1.7
178,178,70,female,68,,,4453,1,,0.8,7.7,2.2
179,179,47,female,68,,,6349,1,2.4,0.7,12.1,1.7
180,180,50,female,68,,,12140,1,2.7,0.9,12.4,1.7
181,181,74,male,68,,,1392,1,3.3,1.1,14.1,1.6
182,182,80,male,68,,,3167,1,2.9,1.2,12.2,1.4
183,183,60,female,68,,,6025,1,3.3,1.2,11.1,1.2
184,184,72,male,68,,,4656,1,3,1,14,1.1
185,185,64,male,67,,,1783,1,,,13.2,1.8
186,186,38,male,68,MM,10109,11936,1,3.9,1.1,13.3,2.2
187,187,56,male,68,,,2678,1,2.8,0.9,12.7,1.6
188,188,63,male,69,MM,2185,3658,1,3.1,1.1,14.7,2
189,189,37,female,69,,,12349,0,2.6,1,10.1,1.2
190,190,40,male,69,,,12313,0,3.6,1.1,14.5,1.5
191,191,59,male,69,AM,2556,3511,1,2.9,0.9,14,1.6
192,192,48,male,69,,,8973,1,3.2,1,16.2,1.5
193,193,56,male,67,,,809,1,,1,11.3,1.6
194,194,50,male,68,MM,4311,5151,1,5.1,1.3,14.5,1.4
195,195,70,female,69,MM,7545,7576,1,2.2,0.8,12.4,1
196,196,57,male,69,,,32,1,2.6,2.5,11.2,2.6
197,197,55,male,69,,,9085,1,2.7,0.9,13.4,1.1
198,198,58,male,69,MM,5222,7106,1,2.9,1.3,13.1,1.7
199,199,54,male,69,MM,2797,10410,1,2.9,1,13.6,1.3
200,200,74,female,69,,,3014,1,3.3,0.9,12.9,1.3
201,201,62,female,69,,,8002,1,3.1,0.8,14.5,2.1
202,202,61,male,69,,,5354,1,3.2,0.9,13.8,2
203,203,55,male,69,,,2989,1,2.8,1.2,15,1.9
204,204,52,female,69,,,12319,0,3.2,0.7,14.9,1.4
205,205,46,male,69,,,6089,1,3.1,0.9,13,1.4
206,206,65,male,67,,,8697,1,,1,14.2,1.5
207,207,59,male,69,,,6479,1,3.5,1.1,14.9,1.2
208,208,68,male,70,,,1781,1,2.1,1.1,15.9,2.4
209,209,47,female,70,,,5917,1,2.7,0.7,11.6,2.4
210,210,62,male,70,,,779,1,3.8,1.2,13.9,2
211,211,79,male,69,MA,1431,1434,1,,1.1,12.8,1.9
212,212,64,male,70,,,4763,1,3.9,0.9,15.5,2.6
213,213,77,female,70,,,2910,1,3.9,0.8,12.8,1.4
214,214,76,male,70,,,6209,1,3.6,0.9,13.7,2.6
215,215,64,female,70,,,5824,1,3.6,1.2,12.6,1.5
216,216,70,male,70,,,2400,1,2.9,1.2,7.4,1.4
217,217,51,female,70,MM,1400,3027,1,3.1,0.9,12.8,1.4
218,218,57,female,70,,,8856,1,3.7,0.8,15.1,1.4
219,219,50,male,70,,,9408,1,,1.3,15.1,2.4
220,220,58,male,70,MM,2557,3855,1,3.7,1,14.9,2.2
221,221,75,female,70,,,61,1,2.7,1.3,12.2,1.9
222,222,53,male,70,,,9304,1,3.4,1,13,2.2
223,223,82,female,69,,,1492,1,,0.9,14.1,1.5
224,224,54,male,70,,,11395,0,3.3,1,13.1,1.2
225,225,52,male,68,,,8264,1,,1,14.2,1.9
226,226,72,male,70,,,5181,1,3.9,1,15.4,1.3
227,227,39,male,70,,,11864,0,3.8,,16.6,1.6
228,228,75,male,70,,,3448,1,3.3,1.5,15.9,1.7
229,229,64,male,70,,,10770,1,,0.9,16.1,1.8
230,230,66,male,70,,,2434,1,3.9,1.4,15.1,1.9
231,231,68,male,70,,,6763,1,3.4,1,14.5,2.5
232,232,61,male,70,,,11801,0,3.4,1.1,15,1.6
233,233,62,male,71,MM,1218,1589,1,3.9,0.9,15.1,1.7
234,234,47,female,69,,,12349,0,3.4,0.7,11.8,2.2
235,235,51,female,70,,,9760,1,,0.6,13.6,1.4
236,236,66,male,67,MM,2908,5988,1,4.1,,13.8,2.4
237,237,62,male,68,MA,2521,5260,1,,1.3,12.1,2.1
238,238,38,male,64,,,14325,0,3.8,1.4,14,2.6
239,239,39,male,69,AM,2961,2961,1,,1.2,15.2,1.2
240,240,67,female,69,,,4550,1,3.5,1.3,12.2,2.2
241,241,55,male,66,MA,3766,6524,1,3.2,1.3,14.2,1.3