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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
1
1,996
0.53
0.98
1
0.9
0
4,928
0
57
1
1,998
0.89
0.98
2
1.2
0
3,378
1
58
1
1,996
0.55
0.69
1
1.1
0
4,841
0
59
1
1,995
2.38
1.76
9
1.8
0
286
1
56
1
1,995
1.67
1.7
7
1.1
0
2,340
1
57
1
1,996
4.71
10.1
10
1.1
0
1,376
1
56
1
1,998
1.25
1.53
5
1.2
0
4,030
0
57
1
1,998
1.56
1.24
5
1.2
0
4,164
0
57
1
1,996
1.29
1.12
4
1.2
0
4,009
1
56
1
1,995
1.69
1.6
7
1
0
5,094
0
57
1
1,997
1.61
1.58
7
1.5
0
4,239
0
57
1
1,998
2.11
1.33
8
1.5
0
4,172
0
58
1
1,995
1.17
1.78
6
1.1
0
4,947
0
58
1
1,995
0.27
1.24
1
1.1
1
4,957
0
58
1
1,996
0.875
0.993
2
1.2
0
4,792
0
57
1
1,996
1.72
2.47
9
1.2
0
4,736
0
55
1
1,996
1.32
1.46
5
1.6
0
4,919
0
56
1
1,999
1.41
1.45
6
1.3
0
225
0
58
1
1,998
1.13
1.7
6
1.2
0
3,934
0
56
1
1,996
1.21
1.5
5
0.9
0
1,251
1
55
1
1,997
1.41
1.64
6
1.2
0
4,536
0
59
1
1,996
0.9
1.41
3
1.1
0
4,659
0
57
1
1,997
0.382
1.32
1
0.9
0
4,493
0
59
1
1,998
1.05
0.96
2
1.2
0
2,276
1
56
1
1,995
1.09
1.43
4
1.2
0
4,983
0
56
1
1,997
1.99
2.48
9
1.2
0
9
0
59
1
1,999
1.24
1.877
7
1.2
0
3,689
0
55
1
1,996
0.812
1.14
2
0.9
0
4,662
0
55
1
1,997
0.691
1.18
2
1.1
0
4,533
0
59
1
1,996
0.76
1.14
2
1.3
0
4,841
0
57
1
1,997
0.389
1.02
1
1
0
4,369
0
59
1
1,998
1.68
1.68
7
1.7
0
3,862
0
57
1
1,995
0.85
1.26
3
1
0
4,939
0
57
1
1,997
1.39
1.81
7
1
0
4,502
0
56
1
1,995
1.39
1.44
6
1.1
0
4,990
0
57
1
1,996
1.66
1.27
6
1.3
0
4,640
0
59
1
1,996
1.23
1.78
6
1.1
0
4,813
0
55
1
1,997
1.16
1.52
5
1
0
4,419
0
56
1
1,996
1.79
1.5
7
1.6
0
4,824
0
54
1
1,999
1.45
1.23
5
1
0
3,809
0
53
1
2,000
1.24
1.5
5
1.3
0
3,299
0
53
1
1,995
1.14
1.81
6
0.9
0
4,932
0
52
1
1,998
1.4
1.69
7
1.1
0
4,131
0
50
1
1,999
0.685
1.29
2
1
0
3,666
0
52
1
1,996
1
1.41
4
1.1
0
4,816
0
51
1
1,996
0.67
1.73
4
1
0
4,900
0
51
1
1,996
1.74
2.4
9
1.3
0
4,838
0
53
1
1,998
1.03
1.37
4
1.4
0
3,989
0
52
1
1,997
0.306
0.39
1
1.1
0
4,366
0
53
1
1,996
0.48
1.55
2
0.9
0
4,870
0
54
1
1,998
1.97
2.58
9
1.1
0
3,948
0
52
1
1,996
1.35
1.33
5
1
0
4,586
0
54
1
1,995
0.76
1.56
3
1.3
0
4,934
0
51
1
1,995
2.33
2.41
10
1.5
0
4,948
0
50
1
1,996
0.85
1.14
2
1.2
0
4,922
0
52
1
1,998
0.65
1.06
1
1.2
0
4,037
0
52
1
1,996
0.433
1.43
2
1.1
0
4,686
0
52
1
1,996
1.02
1.5
4
1
0
4,809
0
54
1
2,000
1.41
2.06
8
1.2
0
3,135
0
50
1
1,996
0.97
1.5
4
1
0
4,766
0
54
1
1,996
1.36
1.47
6
1.3
0
4,638
0
51
1
2,001
1.38
3.07
9
0.9
0
2,786
0
50
1
1,997
0.88
1.18
2
1.3
0
4,397
0
52
1
1,996
0.91
1.76
5
1.1
0
4,704
0
51
1
1,999
2.42
2.08
9
1.4
0
3,804
0
52
1
1,996
0.71
0.53
1
1.3
0
4,852
0
53
1
2,003
0.953
1.18
3
1.3
0
2,269
0
50
1
1,996
0.38
1.43
2
1.2
0
4,893
0
51
1
2,003
1.5
1.98
8
1.3
0
2,233
0
54
1
1,997
1.81
2.64
9
1.4
0
4,343
0
50
1
1,996
0.41
1.11
1
1.1
0
582
0
50
1
1,995
1.29
1.64
6
1.9
0
3,663
0
54
1
2,003
1.42
1.3
5
1.1
0
2,281
0
54
1
1,995
1.4
1.48
6
1.1
0
4,975
0
53
1
1,997
1.55
1.82
7
1.2
0
4,479
0
54
1
1,996
1.3
1.84
7
1.2
0
4,178
0
54
1
1,998
1.09
1.14
3
1.1
0
3,977
0
51
1
1,997
1.46
2.19
8
0.9
0
518
0
54
1
1,997
0.714
0.965
1
1
0
4,535
0
53
1
1,995
1.67
1.29
6
1.5
0
4,997
0
53
1
1,997
0.905
1.42
3
1.1
0
4,492
0
51
1
1,999
1.63
2.09
8
1.2
0
3,577
0
51
1
1,998
1.43
1.71
7
1.4
0
4,058
0
52
1
1,995
0.36
0.93
1
1.1
0
4,932
0
51
1
2,000
1.2
1.88
7
1
0
3,112
0
50
1
1,995
0.28
1.03
1
1
0
5,004
0
52
1
1,996
1.78
2.76
9
1.3
0
4,862
0
53
1
1,998
1.18
1.92
7
1.1
0
3,558
0
51
1
2,001
4.21
4.32
10
1.3
0
2,869
0
52
1
1,998
1.77
1.01
5
1
1
4,115
0
50
1
1,996
0.97
2.19
7
1.2
0
4,851
0
52
1
1,995
1.34
1.52
6
1.1
0
4,996
0
51
1
2,000
0.78
0.841
1
1.2
0
3,433
0
54
1
1,995
0.91
0.98
2
1
0
4,954
0
50
1
2,001
0.859
0.586
1
1
0
2,904
0
51
1
1,996
1.49
1.31
5
1.2
0
4,593
0
52
1
1,997
1.54
1.72
7
1.2
0
4,561
0
50
1
1,996
0.722
1.04
2
0.9
0
4,589
0
51
1
1,998
1.21
1.59
5
1
0
4,017
0
53
1
2,000
2.39
1.93
9
1.3
0
3,245
0