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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
71
0
1,995
0.86
1.98
6
1
0
5,003
0
74
0
1,996
0.42
1.32
1
0.9
0
1,834
1
72
0
1,996
1.82
1.84
8
1.2
0
5
1
70
0
2,000
1.32
1.1
4
0.9
0
3,311
0
70
0
1,996
1
1.51
4
1
0
4,859
0
74
0
1,996
1.46
1.74
7
0.9
0
4,687
0
71
0
1,995
1.17
1.91
7
1
0
4,991
0
73
0
1,996
0.71
1.1
2
0.9
0
4,926
0
71
0
1,997
1.26
1.13
4
0.9
0
1,409
1
73
0
1,997
1.13
1.47
5
0.8
0
4,358
0
71
0
1,997
2.53
2.55
10
0.9
0
468
1
74
0
1,996
2.71
3.09
10
0.8
0
3,759
1
71
0
1,996
0.95
1.19
3
0.8
0
4,564
0
70
0
1,998
1.24
1.2
4
1.2
0
4,100
0
73
0
1,997
2.62
4.56
10
1.5
0
378
1
70
0
1,996
1.19
1.36
4
0.8
0
54
1
70
0
1,995
1.16
1.75
6
0.9
0
5,005
0
72
0
1,997
1.67
1.98
8
1
0
4,397
0
74
0
1,995
1.33
1.75
7
0.9
0
3,846
1
70
0
1,996
0.92
1.12
2
0.8
0
1,268
1
70
0
1,996
2.05
1.39
8
1.5
0
262
1
73
0
2,001
0.835
1.02
2
0.9
0
2,927
0
70
0
1,996
0.49
1.48
2
0.9
0
4,883
0
73
0
1,995
1.49
3.03
9
1.5
0
2,685
1
73
0
1,996
1.57
1.53
7
0.9
0
4,647
0
73
0
1,996
0.95
1.29
3
1
0
4,800
0
74
0
2,000
2.33
2.13
9
0.9
0
3,225
0
73
0
1,997
1.19
2.36
8
1.2
0
4,524
0
73
0
1,995
1.13
1.89
6
1.2
0
5,039
0
73
1
1,996
1.35
1.32
5
1.4
0
4,787
0
71
1
1,996
1.16
1.35
4
1.3
0
4,830
0
70
1
1,996
1.34
1.25
5
1.2
0
4,907
0
71
1
1,996
1.16
2.13
7
1.1
0
4,824
0
74
1
2,000
2.36
1.98
9
1.5
0
3,117
0
74
1
1,995
1.84
1.98
8
1.1
0
30
1
73
1
1,995
2.43
2.51
10
1.2
0
4,957
0
72
1
1,997
1.81
1.5
7
2.2
0
4,121
0
70
1
1,996
1.26
0.833
3
1
0
4,736
0
70
1
1,996
2.48
2.32
10
1.3
0
4,689
0
70
1
1,995
1.67
2.23
9
1
0
4,953
0
72
1
1,997
0.702
1.08
2
1.1
0
4,275
0
73
1
1,997
1.38
1.89
7
1.1
0
1,103
1
72
1
1,995
0.58
0.76
1
1.1
0
3,428
1
72
1
1,996
0.85
1.72
5
1.2
0
2,962
1
72
1
1,995
1.21
1.71
6
0.9
0
3,149
1
71
1
1,998
4.73
3.25
10
1.1
0
86
1
72
1
1,996
2.52
4.13
10
1.2
0
4,594
0
72
1
1,997
0.94
1.16
3
1
0
1,878
1
71
1
1,996
1
1.49
4
1.2
0
4,863
0
74
1
1,999
1.84
2.01
8
1.1
0
3,700
0
72
1
1,999
1.5
1.52
6
1
0
3,752
0
70
1
1,996
1.23
1.47
5
1.3
0
4,865
0
73
1
2,000
1.38
2.02
8
1.6
0
2,936
0
74
1
1,996
3.17
2.02
10
1.4
0
2,480
1
70
1
1,996
0.92
1.16
2
1.1
0
3,289
1
72
1
1,996
1.88
2.15
9
1.1
0
4,786
0
71
1
1,996
1.69
1.7
8
1.2
0
4,904
0
71
1
1,996
0.64
1.52
3
1.1
0
44
1
72
1
1,995
0.89
1.07
2
1.2
0
4,092
1
70
1
1,996
0.9
0.9
2
1.1
0
4,851
0
70
1
1,996
1.89
1.46
7
1.4
0
4,657
1
70
1
1,996
1.42
2.47
9
1.3
0
3,067
1
70
1
1,997
1.07
0.857
2
1.2
0
1,695
1
74
1
1,995
1.5
3.88
10
1.5
0
1,981
1
72
1
1,995
1.11
1.59
5
1.1
0
4,989
0
70
1
1,997
0.77
1.26
2
1.1
0
2,061
1
70
1
1,996
3.12
3.1
10
1.2
0
713
1
72
1
1,996
1.38
0.97
4
1.5
0
1,326
1
70
1
1,995
1.31
1.6
6
1.3
0
5,005
0
73
1
1,996
1.37
2.53
9
0.9
0
2,992
1
72
1
1,999
1.78
2.03
8
1.1
0
3,766
0
70
1
1,996
1.46
1.62
7
1.1
0
4,894
0
73
1
1,996
1.03
1.58
5
1
0
2,071
1
74
1
1,997
0.999
1.07
2
1.1
0
3,011
1
70
1
1,997
1.04
0.972
2
1.1
0
4,348
0
72
1
1,997
1.57
1.36
6
1
0
3,705
1
74
1
1,997
1.63
1.26
6
1
0
3,934
0
73
1
1,996
2.15
1.89
9
1.3
0
4,793
0
74
1
1,997
0.71
0.936
1
1.1
0
4,253
0
74
1
1,996
1.65
1.81
8
1
0
4,733
0
73
1
1,996
1.83
1.63
8
1
0
2,586
1
73
1
1,997
3.84
3.27
10
2
0
2,345
1
73
1
1,997
1.3
1.46
5
1.2
0
54
1
71
1
1,996
0.94
1.15
3
1.1
0
4,863
0
74
1
2,000
3.72
2.37
10
1.4
0
359
1
70
1
1,996
1.41
1.61
6
1.1
0
4,001
0
74
1
1,996
0.392
1.17
1
1.1
0
4,619
0
74
1
1,996
0.95
0.96
2
1.2
0
4,896
0
71
1
1,996
1.64
1.76
8
1.3
0
4,802
0
73
1
1,997
1.09
1.42
4
1.2
0
1,712
1
73
1
1,995
2.53
4.17
10
2
0
2,084
1
71
1
1,996
1.47
1.61
7
1
0
4,582
0
73
1
1,996
0.98
1.05
2
1.2
0
4,382
1
73
1
1,998
1.76
1.48
7
10.8
0
3,974
0
72
1
1,996
2.06
2.11
9
1.3
0
4,669
0
72
1
1,996
1.63
0.962
5
1.3
1
4,076
1
73
1
1,997
2.03
1.54
8
1.3
0
4,487
0
73
1
1,996
1.8
3.97
10
1
0
4,622
0
71
1
1,995
1.83
2.07
9
1.1
0
4,978
0
71
1
1,999
9.69
8.45
10
1.4
0
326
1