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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
56
1
1,997
0.877
1.26
3
1.5
0
4,472
0
56
1
1,997
0.921
1.08
2
1.1
0
4,501
0
55
1
1,997
1.11
1.34
4
1.2
0
4,439
0
58
1
1,996
0.747
0.932
1
1.3
0
4,761
0
59
1
1,995
1.22
1.65
6
1
0
4,189
0
58
1
1,995
0.77
1.06
2
0.9
0
4,939
0
58
1
1,996
0.976
1.04
2
1.1
0
4,565
0
57
1
1,996
0.94
1.36
3
1
0
4,884
0
59
1
1,996
1.27
1.75
6
1.3
0
4,772
0
56
1
1,998
1.36
1.07
4
1.2
0
1,294
0
55
1
1,999
0.65
1.46
3
1.3
0
3,696
0
55
1
1,996
0.93
1.06
2
1.4
0
4,609
0
59
1
1,997
0.935
1.36
3
0.9
0
4,368
0
56
1
1,996
1.03
1.29
3
1.3
0
4,632
0
57
1
1,997
2.05
1.97
9
1.1
0
4,291
0
58
1
1,998
1.4
1.23
5
0.8
0
1,744
1
55
1
1,997
0.883
1.06
2
1
0
4,253
0
55
1
1,996
0.91
1.15
2
0.9
0
4,906
0
58
1
1,996
1.94
1.69
8
1.3
0
4,682
0
55
1
1,996
1.44
1.79
7
1.2
0
4,835
0
59
1
1,997
2.34
2.1
9
1.3
0
4,443
0
59
1
1,995
0.93
1.21
3
1.4
0
4,978
0
59
1
1,996
1.61
2.7
9
0.9
0
4,852
0
58
1
1,996
0.33
0.53
1
1.2
0
4,855
0
57
1
2,000
1.1
0.927
2
1.1
0
2,863
0
55
1
1,995
0.96
1.17
3
1
0
4,975
0
57
1
1,998
0.901
1.22
3
1.1
0
1,479
1
55
1
1,996
0.78
0.93
1
1.4
0
4,814
0
56
1
1,996
1.35
1.04
4
1.2
0
566
0
57
1
1,999
1.23
1.32
4
1.2
0
3,447
1
57
1
1,996
0.85
1.31
3
1.2
0
4,843
0
59
1
1,996
1.24
0.313
1
1.1
1
4,589
0
55
1
1,996
1.06
1.31
4
1
0
4,809
0
57
1
1,998
1.12
1.45
5
1.2
0
4,095
0
59
1
1,996
1.16
1.31
4
1.3
0
4,711
0
57
1
1,997
0.999
0.696
1
1.4
0
4,219
0
55
1
1,996
2.7
1.74
9
1.1
0
4,626
0
57
1
1,997
0.892
1.39
3
1.1
0
4,290
0
58
1
1,995
1.49
1.97
8
1
0
6
0
59
1
1,995
0.62
1.14
2
1
0
4,605
0
56
1
1,997
1.1
1.32
4
1.1
0
4,464
0
55
1
1,997
0.247
0.461
1
1.2
0
3,852
0
58
1
1,996
0.942
1.13
2
1
0
4,649
0
58
1
1,998
1.45
1.42
6
1.2
0
4,134
0
58
1
1,997
0.162
1.19
1
1
1
4,509
0
58
1
1,995
1.08
1.43
4
1.2
0
4,996
0
57
1
1,996
0.56
0.96
1
1
0
4,920
0
57
1
1,996
0.937
1.52
4
1
0
4,627
0
57
1
1,996
1
1.45
4
1.1
0
4,821
0
59
1
1,995
1.65
2.13
8
1.2
0
4,940
0
59
1
1,997
0.907
1.45
4
1
0
4,313
0
57
1
1,997
1.31
1.26
5
0.9
0
2,265
1
56
1
1,996
1.26
1.19
4
1.1
0
4,662
0
56
1
1,997
1.65
1.67
7
1
0
4,449
0
55
1
1,996
1.49
2
8
1.3
0
2,543
1
55
1
1,996
1.95
1.28
7
1.2
0
4,912
0
58
1
1,997
1.97
2.19
9
0.9
0
4,484
0
56
1
2,000
0.99
1.23
3
1.1
0
3,172
0
57
1
1,999
1.63
1.94
8
1.2
0
3,613
0
56
1
1,996
1.3
1.49
5
1.1
0
4,848
0
55
1
1,996
1.18
1.18
4
1
0
3,877
0
59
1
1,996
1.06
1.33
4
1
0
3,843
1
58
1
1,997
1.36
1.47
6
1
0
4,486
0
59
1
1,996
1.03
1.68
5
1.2
0
4,851
0
55
1
1,996
0.48
1.21
1
1.2
0
4,918
0
57
1
1,995
0.53
0.7
1
1.4
0
4,989
0
59
1
2,001
1.55
1.51
6
1
0
3,045
0
59
1
1,999
1.37
1.9
7
1.2
0
3,485
0
57
1
1,996
2.07
2.46
9
0.9
0
3,056
1
57
1
1,996
1.39
1.84
7
1.1
0
4,750
0
58
1
1,995
0.78
1.8
5
1.3
0
19
1
59
1
1,996
1.7
1.7
8
1.1
0
3,128
1
59
1
1,997
0.226
0.312
1
1.1
0
4,234
0
57
1
1,996
0.899
1.2
3
1.4
0
4,688
0
55
1
1,997
1.95
2.29
9
1.2
0
4,533
0
55
1
1,996
1.31
1.65
6
1.3
0
4,898
0
56
1
2,001
1.89
1.94
8
1
0
2,943
0
58
1
2,001
1.6
2.5
9
1
0
2,978
0
59
1
1,996
0.6
0.76
1
1
0
4,198
0
56
1
1,997
0.841
1.34
3
1.2
0
4,296
0
59
1
1,996
0.98
2.12
7
1.2
0
4,872
0
59
1
1,999
1.32
1.06
4
1.4
0
3,744
0
59
1
1,997
1.37
1.61
6
1.1
0
4,544
0
55
1
1,997
0.922
1.32
3
1.1
0
4,261
0
57
1
1,996
1.18
1.37
4
1.2
0
4,799
0
57
1
1,998
1.83
1.7
8
1.3
0
4,152
0
59
1
1,998
1.23
1.33
5
1.1
0
1,903
0
56
1
1,996
1.36
1.79
7
0.9
0
4,668
0
58
1
1,996
1.3
1.49
5
1.1
0
4,796
0
58
1
1,996
0.81
1.82
5
1.1
0
4,865
0
56
1
1,996
0.65
1.28
2
1
0
4,919
0
59
1
1,996
1.76
1.63
8
1.2
0
4,611
0
58
1
1,997
1.76
1.37
7
1.1
0
2,357
0
56
1
1,996
1.64
1.95
8
1.1
0
4,668
0
55
1
1,999
1.43
1.13
5
1.3
0
3,823
0
57
1
1,997
0.908
1.19
3
0.9
0
3,249
1
59
1
1,998
0.97
1.62
5
1.1
0
4,197
0
57
1
1,996
0.85
1.23
2
1
0
4,610
0
59
1
1,996
1.24
1.17
4
1
0
4,843
0
57
1
1,997
1.46
1.34
5
1.2
0
4,499
0