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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
55
1
1,996
1.34
1.19
4
1.3
0
4,593
0
55
1
1,995
1.14
1.54
5
0.9
0
4,950
0
56
1
1,999
0.971
1.07
2
1.1
0
3,635
0
56
1
1,996
1.2
2.27
8
1.2
0
4,726
0
56
1
1,998
0.889
1
2
1.2
0
4,082
0
55
1
1,997
0.72
1.11
2
1
0
4,404
0
59
1
1,997
0.837
0.992
2
1
0
4,221
0
56
1
1,996
1.64
1.96
8
1
0
4,638
0
57
1
1,996
0.66
1.17
2
0.9
0
4,893
0
58
1
1,997
1.8
1.54
7
0.8
0
4,319
0
56
1
1,995
1.15
1.32
4
1.1
0
4,996
0
57
1
1,995
0.94
1.17
3
1
0
4,364
0
55
1
2,000
1.33
1.62
6
1.3
0
3,228
0
55
1
1,996
0.318
0.619
1
1
0
4,610
1
58
1
1,996
1.46
1.46
6
1.1
0
4,900
0
56
1
1,997
1.35
1.19
4
1
0
4,557
0
59
1
1,996
0.48
1.45
2
0.9
0
4,926
0
57
1
1,998
2.13
1.84
9
1.3
0
4,033
0
59
1
1,995
1.07
1.35
4
1.3
0
116
1
56
1
2,000
1.45
1.75
7
1.2
0
3,120
0
55
1
1,997
1.78
1.92
8
1.1
0
4,508
0
58
1
1,998
1.36
1.87
7
1.1
0
4,191
0
56
1
1,995
1.1
1.66
5
1.1
0
5,081
0
59
1
1,997
1.03
0.912
2
1.3
0
4,250
0
55
1
1,996
1.01
1.15
3
1.5
0
4,613
0
59
1
1,998
1.93
1.92
8
1
0
4,171
0
57
1
1,997
1.09
1.02
3
1.2
0
4,421
0
55
1
1,995
1.35
1.41
5
1.1
0
4,975
0
59
1
1,998
1.41
1.78
7
1.2
0
4,124
0
59
1
1,997
0.925
1.99
6
1
0
4,396
0
56
1
1,996
0.36
0.55
1
1
0
4,886
0
58
1
1,995
0.45
1.12
1
0.9
0
4,965
0
56
1
1,996
0.99
1.19
3
1.4
0
4,824
0
59
1
1,996
1.01
1.37
4
0.8
0
4,893
0
56
1
1,996
0.399
1.15
1
1.1
0
4,571
0
55
1
1,996
1.87
2.2
9
1.2
0
4,626
0
57
1
1,999
0.725
0.366
1
1
1
3,675
0
58
1
1,998
2.1
1.62
8
1.2
0
3,966
0
59
1
1,996
1.26
1.73
6
1.3
0
4,793
0
56
1
1,995
0.98
0.89
2
1.1
0
4,989
0
57
1
1,996
16.4
26.6
10
6.1
0
376
1
57
1
1,999
0.57
1.16
1
1.2
0
3,659
0
55
1
1,997
1.61
2.43
9
0.9
0
4,546
0
55
1
1,997
0.706
1
1
1.1
0
4,550
0
59
1
1,996
1.33
1.7
6
1.1
0
1,408
1
56
1
1,996
0.816
1.02
2
1.4
0
4,327
1
59
1
1,996
0.75
1.31
2
1.1
0
3,217
1
55
1
1,999
3.11
3.59
10
1.2
0
3,507
0
59
1
1,997
1.38
1.47
6
1.1
0
4,362
0
55
1
1,996
1.5
1.7
7
1
0
4,781
0
56
1
1,997
0.952
1.31
3
1.2
0
4,228
0
57
1
1,996
1.03
1.52
4
1.2
0
4,922
0
56
1
1,996
1.29
1.67
6
1.1
0
1,730
1
55
1
2,001
1.89
1.82
8
1.1
0
3,045
0
57
1
1,996
1.37
1.72
7
1.3
0
4,771
0
55
1
1,996
0.96
1.08
2
1.2
0
4,787
0
55
1
1,996
0.62
1.12
1
1.1
0
4,848
0
58
1
1,997
1.23
1.41
5
1.3
0
4,276
0
57
1
1,996
1.32
1.76
7
1.1
0
4,802
0
59
1
1,999
2.81
2.71
10
1.1
0
3,537
0
57
1
1,996
1.64
2.21
8
1.5
0
4,862
0
57
1
1,995
0.89
0.99
2
1
0
2,288
1
57
1
1,995
0.78
1.5
3
1
0
4,948
0
55
1
1,996
1.44
1.56
6
1.1
0
4,912
0
57
1
1,996
0.88
1.4
3
1
0
4,669
0
57
1
1,995
1.47
1.85
7
1.2
0
4,976
0
59
1
1,996
0.999
1.15
3
1.5
0
4,592
0
58
1
1,996
1.84
2.49
9
1.1
0
4,850
0
56
1
1,995
1.63
2.21
8
0.9
0
3,248
1
59
1
2,001
1.36
1.29
5
1.3
0
3,032
0
55
1
1,995
0.9
1.07
2
1.2
0
4,981
0
58
1
1,996
1.24
1.29
4
1.3
0
4,851
0
58
1
1,996
0.89
1.71
5
1.1
0
4,926
0
57
1
1,999
1.5
1.48
6
1
0
3,792
0
56
1
1,996
0.802
1.37
3
1.1
0
4,789
0
57
1
1,997
0.932
0.924
2
1.3
0
3,280
0
58
1
1,996
1.92
1.49
8
1.1
0
4,899
0
55
1
2,001
1.66
1.62
7
1.6
0
2,856
0
56
1
1,996
1.53
1.37
6
1.1
0
4,575
0
59
1
1,999
0.807
0.991
2
1.3
0
3,515
0
58
1
1,996
0.613
1.33
2
0.9
0
4,604
0
56
1
1,996
1.03
1.14
3
1.2
0
4,892
0
59
1
1,996
1.03
1.34
4
1
0
214
1
56
1
1,997
0.778
1.41
3
1
0
4,528
0
58
1
1,997
1.34
1.98
7
1
0
4,137
0
55
1
1,997
1.88
1.74
8
1.3
0
4,291
0
58
1
1,997
1.21
1.43
5
1.2
0
4,414
0
57
1
2,001
1.21
1.2
4
1.2
0
3,063
0
58
1
1,995
1.21
1.6
6
1.1
0
532
1
56
1
1,996
1.54
1.47
6
1.2
0
3,436
1
55
1
1,996
1.4
1.5
6
1.4
0
1,810
1
57
1
1,997
1.13
0.53
1
1.1
1
4,558
0
58
1
1,996
1.3
1.33
5
1
0
4,891
0
55
1
1,999
1.93
1.74
8
1.2
0
1,837
0
59
1
1,996
1.08
0.97
2
1.1
0
4,856
0
55
1
1,997
1.53
1.04
5
1.2
0
2,688
0
59
1
1,997
0.872
1.05
2
1.1
0
4,293
0
55
1
1,996
1.09
1.4
4
1.1
0
4,894
0
55
1
1,997
1.14
1.2
4
1.2
0
4,295
0
57
1
1,996
1.33
2.25
8
1.9
0
4,643
0