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pytorch-survival
/
flchain_pycox

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age
float32
50
101
sex
float32
0
1
sample.yr
int64
2k
2k
kappa
float32
0.01
20.5
lambda
float32
0.04
26.6
flc.grp
int64
1
10
creatinine
float32
0.4
10.8
mgus
float32
0
1
event_time
float32
0
5.17k
event_indicator
float32
0
1
82
0
1,996
1.66
1.66
7
1.2
0
3,891
1
87
0
1,996
3.05
2.19
10
1.8
0
1,254
1
82
0
1,996
3.11
2.8
10
1
0
3,455
0
80
0
1,995
1.35
1.8
7
1
0
390
1
85
0
1,996
1.27
1.46
5
1
0
2,019
0
82
0
1,996
1.25
1.43
5
0.9
0
2,517
1
84
0
1,995
1.17
1.63
5
0.8
0
3,099
1
81
0
1,996
2.09
2.61
9
1
0
2,393
1
85
0
1,996
1.56
2.65
9
0.9
0
430
1
83
0
1,996
2.43
1.95
9
0.9
0
645
1
86
0
1,995
2.34
2.38
10
0.9
0
1,569
0
88
0
1,996
1.18
1.64
6
0.8
0
857
1
82
0
1,995
2.06
2.32
9
1.1
0
165
1
83
0
1,997
2.49
3.2
10
0.8
0
4,536
0
83
0
1,996
0.61
1.21
2
0.7
0
3,953
1
82
0
1,996
3.06
2.25
10
1.4
0
420
1
84
0
1,997
1.48
1.66
7
0.8
0
3,245
1
80
0
1,995
3.76
3.87
10
1.2
0
1,801
1
82
0
1,997
1.84
1.87
8
0.8
0
3,253
1
82
0
1,996
1.57
1.51
7
1.8
0
4,710
1
81
0
1,996
1.24
2.54
8
1.1
0
1,454
1
85
0
1,996
1.5
2.58
9
0.8
0
2,134
1
83
0
1,996
0.646
0.552
1
1.2
0
2,993
1
86
0
1,996
3.01
2.01
10
1
0
1,503
1
83
0
1,997
2.45
1.79
9
0.7
0
154
1
83
0
1,998
1.23
2.52
8
1
0
489
1
81
0
1,997
2.22
2.28
9
1
0
1,262
1
83
0
1,997
4.62
4.09
10
1.6
0
2,266
0
84
0
1,997
1.57
1.38
6
0.9
0
1,019
1
83
0
1,996
2.16
2.26
9
1.4
0
2,302
1
80
0
1,995
1.28
1.37
5
0.8
0
4,954
0
81
0
1,996
0.91
1.62
4
0.9
0
3,065
1
86
0
1,996
0.96
1.25
3
0.8
0
2,974
1
83
0
1,995
1.15
2.18
7
1.1
0
179
1
85
0
1,997
2.95
3.46
10
1.6
0
2,251
1
84
0
1,996
1.69
1.97
8
0.8
0
2,540
1
87
0
1,998
2.09
2.57
9
1.1
0
1,664
1
85
0
1,996
1.88
1.99
9
1.3
0
632
1
82
0
1,996
0.997
1.64
5
0.9
0
696
1
82
0
1,997
1.2
1.01
3
0.7
0
3,105
1
82
0
1,996
1.4
1.79
7
1
0
3,230
1
83
0
2,000
1.62
1.73
7
0.7
0
304
0
83
0
1,998
2.32
2.36
9
1.1
0
909
1
82
0
1,996
10.5
17
10
6.6
0
378
1
83
0
1,996
1.82
2.66
9
1.7
0
2,050
1
85
0
1,996
1.23
1.29
4
1.5
0
1,289
1
85
0
1,996
0.65
1.66
3
0.8
0
2,084
1
80
0
1,996
3.22
4.09
10
1.4
0
975
1
84
0
1,996
1.34
1.55
6
1
0
4,234
1
88
0
1,996
2.97
2.23
10
1.7
0
1,372
1
89
0
1,996
3.54
4.13
10
1.4
0
1,144
1
81
0
1,995
2.32
2.04
9
1.3
0
3,566
1
80
0
2,000
2.08
2.34
9
1.1
0
36
0
84
0
1,997
1.79
1.86
8
0.8
0
4,396
0
86
0
1,997
1.04
0.858
2
1
0
1,548
1
89
0
1,997
0.623
1.3
2
0.9
0
2,184
1
80
0
1,996
1.45
1.67
7
0.9
0
4,856
0
84
0
1,995
1.06
1.1
3
1.2
0
2,550
1
83
0
1,996
1.78
1.66
8
1
0
3,013
1
87
0
1,997
5.39
4.18
10
0.7
0
854
1
81
0
1,996
0.6
1.38
2
1
0
3,115
1
83
0
1,996
0.7
0.89
1
0.7
0
1,831
1
82
0
1,996
0.762
1.33
3
0.7
0
3,766
1
87
0
1,998
2.42
2.4
10
1
0
303
1
89
0
1,996
1.14
1.78
6
0.9
0
853
1
82
0
1,997
2.47
2.67
10
1.4
0
597
1
88
0
1,996
2.8
2.14
10
0.9
0
1,978
1
86
0
2,000
2.2
2.07
9
0.9
0
1,586
1
88
0
1,996
2.49
2.09
9
0.9
0
2,333
0
84
0
1,998
3.86
2.78
10
1.5
0
606
1
82
0
1,996
1.29
1.54
6
0.7
0
1,563
1
82
0
1,996
1.6
1.74
7
1.1
0
3,454
1
82
0
1,998
2.25
1.87
9
1.1
0
1,440
1
84
0
1,997
1.07
0.863
2
1.1
0
4,382
0
85
0
1,996
2.33
2.76
10
1
0
513
1
82
0
1,997
2.3
2.22
9
0.9
0
4,416
0
84
0
1,995
2.22
2.62
10
1.1
0
4,988
0
81
0
1,996
0.47
1.07
1
1.5
0
2,814
1
88
0
1,996
1.86
2.43
9
1.2
0
4,498
1
80
0
1,997
2.32
1.71
9
1.1
0
4,306
0
86
0
1,996
1.66
1.8
8
0.9
0
1,838
1
82
0
1,997
1.49
1.45
6
1.1
0
1,501
1
82
0
1,996
1.9
2.16
9
1.3
0
2,377
1
83
0
1,998
1.59
1.33
6
1.3
0
958
1
89
0
1,996
4.81
4.9
10
2.8
0
2,320
1
83
0
1,996
2.74
2.01
10
1.1
0
430
1
84
0
1,995
1.84
2.93
10
1.6
0
106
1
83
0
1,997
1.53
1.52
6
1.2
0
1,372
1
86
0
1,996
2.31
2.26
9
1
0
3,688
1
86
0
1,996
4.54
7.25
10
1.3
0
850
1
80
0
1,998
3.57
2.41
10
1.2
0
2,642
1
84
0
1,999
2.94
3
10
1.7
0
0
1
84
0
1,997
1.81
2.39
9
0.9
0
3,612
1
82
0
1,996
1.63
1.86
8
0.9
0
4,016
1
87
0
1,997
4.11
5.52
10
1.4
0
1,810
1
89
0
1,996
1.5
3
9
1
0
427
1
80
0
1,996
0.744
1.47
3
1.3
0
4,703
0
89
0
1,996
1.3
1.21
4
0.7
0
2,568
1
81
0
1,997
3.23
3.23
10
0.9
0
430
1
87
0
1,996
1.42
1.62
6
1.1
0
884
1