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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
77
0
1,997
0.922
1.13
2
1.3
0
4,551
0
76
0
1,995
2.3
3.04
10
1.2
0
4,978
0
75
0
1,997
0.93
1.03
2
1
0
4,459
0
76
0
1,995
0.94
1.65
5
1.2
0
923
1
77
0
2,000
3.07
2.73
10
1
0
3,358
0
79
0
1,996
3.02
5.85
10
3.7
0
175
1
75
0
1,997
0.713
0.953
1
1.1
0
576
1
75
0
1,996
2.65
1.63
9
1.1
0
4,531
1
79
0
1,996
2.56
2.31
10
1.1
0
3,958
1
76
0
1,999
1.55
1.95
8
1
0
2,161
1
76
0
1,996
0.65
1.17
2
1
0
4,913
0
78
0
1,995
1.62
1.86
8
1.3
0
2,045
1
75
0
1,996
1.04
1.33
4
0.8
0
3,149
1
78
0
1,996
1.65
1.39
6
1.1
0
1,834
1
78
0
1,995
1.26
1.62
6
1.2
0
1,897
1
79
0
1,995
1.42
1.91
7
1
0
4,957
0
79
0
1,997
0.383
1.64
2
0.9
1
4,512
0
75
0
1,998
1.34
1.28
5
0.9
0
3,404
0
78
0
1,996
0.633
1.23
2
1
0
3,486
1
76
0
1,997
1.03
2.65
8
0.7
0
4,543
0
76
0
1,996
0.74
1.1
2
0.7
0
695
1
79
0
1,995
1.21
3.07
9
1.3
0
2,433
1
76
0
1,996
1.14
1.79
6
1.1
0
550
1
76
0
1,997
0.776
0.864
1
1.1
0
4,313
0
76
0
1,995
1.61
2.51
9
1.3
0
4,940
0
75
0
1,995
0.35
0.96
1
1
0
2,225
0
78
0
1,996
0.378
1.03
1
0.8
0
4,674
0
77
0
1,996
1.99
2.07
9
1.2
0
1,760
1
79
0
1,997
1.69
2.19
9
1
0
2,320
1
79
0
1,997
1.02
0.916
2
0.9
0
4,408
0
75
0
1,996
1.69
1.84
8
1.2
0
4,648
0
77
0
1,996
1.98
1.77
8
0.7
0
1,183
1
75
0
1,998
1.51
1.73
7
1
0
4,164
0
79
0
1,995
1.37
1.48
6
1.2
0
4,955
0
77
0
1,997
1.12
1.5
5
1.2
0
4,486
0
78
0
1,996
0.32
1.07
1
0.9
0
4,883
0
77
0
1,996
4
3.25
10
1.9
0
2,507
1
79
0
1,996
1.54
1.45
6
1.1
0
2,620
1
79
0
1,995
1.38
1.33
5
1.5
0
9
1
76
0
1,995
1.9
3.03
10
1.2
0
2,229
1
76
0
1,996
1.57
1.49
6
1.1
0
4,599
0
77
0
1,995
1.85
2.8
9
1.3
0
4,992
0
78
0
1,997
0.96
1.02
2
1
0
2,040
1
78
0
1,997
1.6
1.6
7
0.9
0
2,208
1
79
0
1,996
1.7
1.7
8
0.9
0
4,912
0
78
0
1,996
0.73
0.86
1
1
0
1,274
0
79
0
1,997
1.25
1.87
7
1.1
0
4,341
0
79
0
1,996
3.67
5.03
10
1.4
0
2,900
1
76
0
1,998
1.5
1.72
7
1.1
0
2,387
1
79
0
2,001
3.92
2.44
10
2
0
731
1
77
0
1,996
0.98
1.17
3
0.8
0
4,827
0
75
0
1,998
1.77
1.81
8
0.6
0
3,988
0
78
0
1,997
1.16
1.03
3
0.8
0
4,536
0
77
0
2,000
1
1.48
4
0.9
0
1,980
1
79
0
1,996
2.04
3.09
10
0.7
0
3,940
1
75
0
1,996
1.05
0.77
2
1.1
0
4,829
0
75
0
1,996
0.872
0.325
1
0.9
1
3,647
1
75
0
1,996
0.87
1.18
2
0.9
0
4,801
0
76
0
1,996
1.58
5.02
10
0.9
0
4,876
0
78
0
1,996
2.14
2.07
9
1
0
3,024
1
78
0
1,998
1.18
1.18
4
0.9
0
3,886
0
79
0
1,996
1.78
2.48
9
1.2
0
50
1
78
0
1,997
1.51
1.46
6
1.1
0
1,726
1
79
0
1,996
0.73
0.96
1
0.8
0
4,890
0
77
0
1,996
2.1
6.6
10
1.3
0
2,919
1
76
0
1,996
0.68
0.92
1
1
0
3,718
1
78
0
2,000
2.05
1.84
9
0.9
0
2,942
1
78
0
1,996
1.32
1.25
5
0.8
0
4,688
0
77
0
1,995
2.31
2.69
10
1
0
3,818
1
79
0
1,997
1.37
1.43
5
0.8
0
3,542
0
79
0
1,996
1.6
1.51
7
1.2
0
778
0
77
0
1,996
1.68
1.34
6
1.1
0
2,643
1
78
0
1,996
1.04
1.4
4
0.9
0
986
1
76
0
1,996
2.18
1.96
9
1.2
0
1,843
1
76
0
1,995
2.96
2.36
10
1.1
0
1,637
1
77
0
1,996
1.31
1.49
5
1
0
4,694
0
76
0
1,998
1.32
1.33
5
0.9
0
4,081
0
77
0
1,997
0.881
1.16
2
0.7
0
958
1
75
0
1,997
2.14
2.35
9
1.3
0
107
1
75
0
1,996
0.8
1.16
2
1
0
1,370
1
78
0
1,995
0.99
1.32
3
1.1
0
2,604
1
76
0
1,996
1.84
1.29
7
1
0
4,611
0
77
0
1,995
0.89
1.53
4
1
0
326
1
76
0
1,996
1.76
2.01
8
1.2
0
156
1
79
0
1,995
1.49
1.54
6
1.2
0
3,792
1
78
0
1,996
1.84
2.75
9
0.8
0
2,343
1
76
0
1,995
0.41
1.07
1
0.8
0
907
1
76
0
1,999
1.21
1.95
7
1.1
0
3,551
0
78
0
1,996
0.996
1.33
3
1
0
4,663
0
76
0
1,996
0.85
1.48
3
1.2
0
4,653
0
76
0
1,996
0.75
1.51
3
0.8
0
4,787
0
78
0
1,996
4.28
4.69
10
2
0
2,896
1
76
0
1,995
1.07
1.55
5
1
0
4,983
0
76
0
1,997
0.904
0.889
2
0.7
0
4,464
0
75
0
1,996
1.86
1.49
7
1
0
4,758
0
79
0
1,996
0.49
1.03
1
1
0
4,572
1
78
0
1,996
0.73
1.13
2
0.9
0
4,919
0
75
0
1,995
1.32
1.42
5
1
0
4,978
0
78
0
1,996
2.26
2.12
9
1
0
4,638
0
77
0
1,996
1.31
1.59
6
1
0
3,530
1