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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
59
0
1,997
0.784
1.47
3
0.8
0
4,375
0
55
0
1,996
0.55
1.48
2
0.9
0
4,887
0
56
0
1,998
1.27
1.12
4
0.9
0
3,920
0
57
0
1,995
0.68
1.66
4
0.9
0
4,963
0
56
0
2,000
0.703
0.829
1
1.2
0
3,172
0
59
0
1,997
2.29
3.62
10
0.8
0
4,516
0
58
0
1,997
0.921
1.32
3
0.8
0
4,035
0
57
0
1,996
0.85
1.27
3
1
0
4,892
0
55
0
1,997
0.52
1.19
1
0.8
0
4,295
0
58
0
1,996
0.76
1.21
2
0.8
0
4,843
0
56
0
1,996
1.77
1.41
7
0.9
0
4,877
0
55
0
1,995
0.99
1.99
6
0.8
0
4,984
0
56
0
1,996
1.01
1.17
3
0.8
0
4,915
0
59
0
1,996
0.41
0.9
1
0.9
0
4,855
0
57
0
1,996
0.72
0.99
1
0.9
0
593
1
57
0
1,996
0.47
0.89
1
0.8
0
4,920
0
55
0
1,997
0.94
2.59
8
0.9
0
4,528
0
58
0
1,997
0.924
1.04
2
1
0
4,397
0
58
0
1,996
1.15
1.69
6
0.9
0
4,883
0
57
0
1,997
1.22
1.7
6
1
0
4,548
0
59
0
1,996
1.13
1.24
4
1.1
0
4,759
0
57
0
1,997
1.19
1.05
3
1
0
989
1
57
0
1,995
0.36
1.03
1
0.9
0
4,988
0
55
0
1,996
0.58
1.1
1
1
0
4,822
0
58
0
1,996
0.4
1.33
1
0.8
0
1,227
1
59
0
1,996
1.59
2.15
8
1
0
4,590
0
59
0
1,999
1.58
1.89
8
1
0
3,535
0
55
0
1,995
1.13
1.43
5
0.8
0
4,941
0
58
0
1,998
1.36
1.49
6
0.9
0
4,102
0
55
0
1,999
1.11
2.05
7
0.9
0
2,503
1
56
0
1,997
0.903
1
2
1
0
4,509
0
58
0
2,001
0.755
1.08
2
1.1
0
3,046
0
58
0
1,997
1.6
1.7
7
0.7
0
4,362
0
56
0
1,995
0.82
1.21
2
0.8
0
4,933
0
57
0
1,995
1.15
1.26
4
0.8
0
4,996
0
59
0
1,996
0.886
1.06
2
0.8
0
4,792
0
57
0
1,999
0.95
1.35
3
0.9
0
3,779
0
55
0
1,996
0.918
1.26
3
0.8
0
4,687
0
57
0
1,995
0.73
1.06
2
1
0
4,962
0
59
0
1,995
1.03
1.58
5
0.8
0
226
1
59
0
1,996
0.63
1.01
1
0.8
0
4,913
0
56
0
1,996
2.2
2.14
9
0.9
0
4,397
1
55
0
1,995
1.53
1.7
7
1
0
4,997
0
55
0
1,997
0.989
0.922
2
1
0
3,957
0
57
0
1,997
1.23
1.42
5
1.1
0
4,388
0
58
0
1,995
1.2
1.29
4
1
0
4,977
0
58
0
2,000
1.48
1.55
6
1.1
0
3,461
0
56
0
1,996
0.39
0.95
1
0.9
0
4,915
0
59
0
1,998
1.98
1.37
7
1.2
0
4,106
0
57
0
1,996
0.697
1.37
2
0.9
0
4,691
0
55
0
1,997
0.822
1.28
3
1
0
4,278
0
55
0
1,996
1.08
1.05
3
0.7
0
4,898
0
59
0
1,997
1.66
1.8
8
0.9
0
1,688
1
59
0
1,996
0.989
0.319
1
0.8
1
4,577
0
58
0
1,996
0.78
1.24
2
0.9
0
4,921
0
59
0
1,997
1.6
1.23
6
1.1
0
4,269
0
58
0
1,996
0.8
1.32
3
1
0
4,872
0
56
0
1,996
0.665
1.24
2
0.7
0
4,810
0
55
0
1,997
1.2
1.19
4
0.8
0
4,514
0
57
0
1,996
1.02
1.39
4
0.9
0
2,912
1
58
0
1,995
1.11
1.53
5
0.9
0
4,947
0
56
0
1,998
2.41
2.43
10
1.1
0
4,002
0
56
0
1,996
1.4
1.77
7
1
0
4,828
0
59
0
1,998
0.96
1.83
5
1
0
4,138
0
57
0
1,997
0.257
1.17
1
0.6
1
410
1
57
0
1,998
2.16
2.29
9
1
0
4,152
0
59
0
1,998
1.57
1.42
6
0.9
0
4,078
0
55
0
1,996
1.14
1.31
4
1
0
4,695
0
56
0
1,995
1.84
2.17
9
1
0
4,949
0
58
0
2,000
1.32
1.53
6
1.1
0
3,401
0
55
0
1,996
0.421
0.414
1
0.9
0
4,691
0
58
0
1,996
1.74
1.28
6
1.2
0
7
0
56
0
1,995
0.6
1.03
1
0.9
0
4,970
0
55
0
1,995
1.06
2.9
9
0.9
0
3,601
1
57
0
1,996
0.934
0.601
1
0.8
0
4,810
0
57
0
1,997
1.86
2.02
9
0.9
0
4,325
0
58
0
1,996
1.68
2.5
9
1
0
4,576
0
59
0
1,996
1.05
1.85
6
0.8
0
4,732
0
59
0
1,995
0.63
1.11
1
0.7
0
4,976
0
58
0
1,996
0.43
1.03
1
0.9
0
4,927
0
57
0
1,996
1.22
1.24
4
0.9
0
4,645
0
56
0
1,996
0.8
0.89
1
0.9
0
4,852
0
57
0
1,995
1.29
1.7
6
0.7
0
4,948
0
56
0
1,997
2.52
2.43
10
0.9
0
4,362
0
56
0
1,998
1.62
1.63
7
1
0
4,009
0
57
0
1,996
0.36
0.91
1
0.9
0
4,928
0
59
0
1,996
2.44
2.71
10
1.1
0
4,633
0
57
0
2,000
1.78
1.53
7
0.8
0
3,203
0
56
0
1,996
0.41
1.14
1
0.9
0
4,865
0
58
0
1,997
1.53
1.89
8
0.8
0
4,491
0
57
0
1,999
1.8
2.43
9
1.3
0
3,718
0
56
0
2,000
3.34
3.55
10
1.1
0
3,289
0
59
0
1,996
1.19
1.09
3
0.9
0
4,754
0
59
0
1,998
1.21
1.57
5
1.2
0
4,045
0
58
0
1,999
0.646
1.25
2
1
0
3,765
0
55
0
1,996
1.08
1.19
3
0.9
0
4,675
0
56
0
1,997
0.861
0.534
1
1.1
0
4,219
0
56
0
1,996
0.81
1.59
4
0.9
0
4,892
0
59
0
1,996
1.4
1.34
5
1
0
4,655
0
57
0
2,001
0.8
1.24
2
0.9
0
3,101
0