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int64
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7.65k
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H0_H1
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2 values
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27 values
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1k
n2
int64
20
1k
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int64
0
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float64
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BN_MCE_test
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143
BN_SCE_test
float64
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float64
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MIN3_test
float64
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WLg_logrank_test
float64
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WLg_TaroneWare_test
float64
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float64
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WLg_PetoPrentice_test
float64
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WLg_Prentice_test
float64
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float64
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7,649
train
H0
H23
20
20
20
40
20
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7,649
train
H1
H23
20
20
20
10
25
1.413452
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7,649
train
H0
H23
30
30
20
13.333333
36.666667
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7,649
train
H1
H23
30
30
20
20
13.333333
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7,649
train
H0
H23
50
50
20
18
22
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3.892112
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7,649
train
H1
H23
50
50
20
22
24
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7,649
train
H0
H23
75
75
20
13.333333
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7,649
train
H1
H23
75
75
20
13.333333
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7,649
train
H0
H23
100
100
20
29
16
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7.100972
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7,649
train
H1
H23
100
100
20
20
17
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0.113693
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7,649
train
H0
H23
150
150
20
24
20.666667
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0.052229
0.077276
0.076904
0.074258
1.633034
0.008061
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0.651923
0.005914
0.02385
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7,649
train
H1
H23
150
150
20
18.666667
19.333333
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0.509057
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2.497197
4.14327
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0.509057
0.211777
0.111422
0.015931
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1.417336
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7,649
train
H0
H23
200
200
20
23.5
23.5
-0.658188
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1.338884
1.340122
3.339337
3.550801
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1.338884
0.1714
1.795928
0.759886
0.271636
3.460716
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7,649
train
H1
H23
200
200
20
18
22
1.298168
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4.173616
4.259718
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1.838158
0.121682
3.404623
2.185334
1.427124
4.079619
4.049574
1.235031
7,649
train
H0
H23
300
300
20
19
20.666667
1.076459
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2.075365
12.076382
2.332042
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1.437977
0.007126
2.075019
1.811127
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2.252161
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1.016492
7,649
train
H1
H23
300
300
20
21.333333
19.333333
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0.12261
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0.573676
0.266821
0.333067
0.009012
0.015284
1.515772
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7,649
train
H0
H23
500
500
20
20.2
19.8
1.393406
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4.811458
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1.393406
1.459684
0.113138
0.315085
1.469754
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0.303327
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7,649
train
H1
H23
500
500
20
18.6
20
0.761828
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9.854499
10.308919
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2.068109
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4.305143
1.49796
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9.631158
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7,649
train
H0
H23
1,000
1,000
20
19.5
18.5
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0.634011
0.726302
1.880721
1.036835
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0.315671
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7,649
train
H1
H23
1,000
1,000
20
21.5
20.2
0.284185
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0.600531
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0.284185
0.542917
0.763355
0.2953
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7,649
train
H0
H23
20
20
30
30
25
-1.08121
1.093084
1.007472
0.989662
1.090396
2.024192
1.166133
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1.093084
0.237465
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1.089093
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7,649
train
H1
H23
20
20
30
40
30
1.120907
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1.309699
1.857443
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1.120907
1.132297
0.220736
0.881115
1.13015
1.260308
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1.224573
7,649
train
H0
H23
30
30
30
30
33.333333
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0.240109
0.235056
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7,649
train
H1
H23
30
30
30
43.333333
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0.464149
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7,649
train
H0
H23
50
50
30
34
30
0.11375
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0.5082
4.159945
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0.5082
0.496467
0.010351
0.258268
0.005964
0.068985
1.581783
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0.277307
7,649
train
H1
H23
50
50
30
30
26
-0.901328
0.884364
0.643408
0.637374
1.362906
4.108947
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0.884364
0.249938
0.406245
0.823576
0.81795
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0.079298
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7,649
train
H0
H23
75
75
30
21.333333
21.333333
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0.13971
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1.328405
1.521323
1.15647
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0.350065
0.560887
0.12341
0.000559
0.020087
0.653103
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7,649
train
H1
H23
75
75
30
41.333333
33.333333
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0.614834
0.519615
0.516375
0.360239
0.351536
0.363216
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0.614834
0.507093
0.266643
0.35033
0.391553
0.101319
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7,649
train
H0
H23
100
100
30
27
29
0.006363
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0.454983
0.453032
1.203589
1.349145
1.32373
0.453032
0.454983
0.515888
0.205238
0.015134
0.014244
0.989836
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7,649
train
H1
H23
100
100
30
32
33
0.309291
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0.055711
3.599681
0.110968
0.309291
0.413629
0.308062
0.054947
0.061648
0.164506
0.003548
0.002445
0.435343
7,649
train
H0
H23
150
150
30
24.666667
33.333333
1.805297
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3.649364
4.197047
3.575423
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1.877591
0.070684
3.522754
3.554537
2.92463
2.1191
2.282162
1.807501
7,649
train
H1
H23
150
150
30
25.333333
27.333333
0.36063
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0.62918
0.706803
0.635899
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0.446236
0.640338
0.000851
0.077542
0.196011
0.177309
0.131617
0.467226
7,649
train
H0
H23
200
200
30
24.5
32.5
2.504594
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6.592733
6.786483
6.381976
2.504594
2.524
0.007719
4.685362
6.233897
6.354101
1.440732
1.547886
2.664099
7,649
train
H1
H23
200
200
30
33
29.5
-0.254318
0.487149
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4.433449
6.451247
5.328458
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0.6144
0.069653
0.383582
0.000031
0.241947
2.963384
2.981667
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7,649
train
H0
H23
300
300
30
29.333333
31.333333
0.012264
0.070664
-0.400451
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0.924112
0.907824
0.996917
0.012264
0.400451
0.607466
0.159955
0.018148
0.005442
0.650439
0.674921
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7,649
train
H1
H23
300
300
30
32.666667
25.666667
-0.822592
0.991254
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4.701322
4.728189
4.851161
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0.991254
0.088427
0.000777
0.392459
0.994203
1.54871
1.481597
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7,649
train
H0
H23
500
500
30
29.8
29.4
-0.870093
0.908338
0.354979
0.354361
2.491748
3.813493
1.920791
0.354361
0.908338
0.282321
0.125572
0.645745
0.83088
0.175166
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7,649
train
H1
H23
500
500
30
29
33
1.00654
-0.714618
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13.539785
13.96299
13.301459
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2.253072
0.001293
5.153742
1.671535
0.507098
11.997046
12.016105
0.753087
7,649
train
H0
H23
1,000
1,000
30
26.8
31.7
1.859522
-1.860047
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3.385419
3.38411
3.478812
1.859522
1.860047
0.049692
3.102948
3.368866
3.453799
1.353484
1.392136
1.962607
7,649
train
H1
H23
1,000
1,000
30
28.4
31.6
1.054161
-0.721298
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15.374137
15.391107
15.940665
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2.471573
0.000346
6.159936
2.091721
0.517654
14.196031
14.139282
0.76131
7,649
train
H0
H23
20
20
40
30
35
-0.892593
0.945795
0.28599
0.279545
2.948745
3.480251
2.690568
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0.945795
0.260466
0.078145
0.561348
0.927063
0.532984
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7,649
train
H1
H23
20
20
40
35
65
1.013723
-0.985606
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1.077864
1.632502
1.079179
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1.053803
0.28865
1.077816
0.975857
0.927981
0.522371
0.498871
1.061088
7,649
train
H0
H23
30
30
40
50
50
-1.556278
1.446145
1.552556
1.645359
2.707229
4.18711
2.710174
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1.552556
0.103743
2.707207
2.570474
2.192617
2.322174
2.517644
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7,649
train
H1
H23
30
30
40
43.333333
40
-2.514202
2.619297
2.054753
2.130907
6.915925
7.888438
7.157878
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2.619297
0.003294
4.540765
6.542797
7.168574
0.194911
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7,649
train
H0
H23
50
50
40
54
38
-1.575814
1.377871
1.85785
1.853873
3.873054
4.591103
3.789412
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1.85785
0.124585
3.436845
2.455124
1.910021
3.776934
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7,649
train
H1
H23
50
50
40
40
38
0.14006
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0.104812
0.104387
0.444376
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0.481183
0.14006
0.271512
0.786163
0.010897
0.009563
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0.273016
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7,649
train
H0
H23
75
75
40
33.333333
37.333333
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0.518702
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4.331608
4.337211
4.212744
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0.518702
0.121679
0.155791
0.029592
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1.961853
1.825366
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7,649
train
H1
H23
75
75
40
45.333333
52
-0.101763
0.366167
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3.429088
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7,649
train
H0
H23
100
100
40
43
42
-0.930932
1.071211
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0.366113
4.631004
15.005099
3.683849
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1.071211
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0.944636
1.166824
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7,649
train
H1
H23
100
100
40
39
47
0.468317
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0.381958
1.256308
0.339225
0.468317
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0.608214
0.314792
0.215018
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7,649
train
H0
H23
150
150
40
40
42.666667
2.340923
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6.138219
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2.340923
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3.538283
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7,649
train
H1
H23
150
150
40
34.666667
44.666667
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3.994959
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7,649
train
H0
H23
200
200
40
40
38.5
1.725591
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5.032902
5.66758
4.669343
1.725591
1.82316
0.047805
1.269429
2.752337
3.302487
0.00004
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1.979094
7,649
train
H1
H23
200
200
40
39.5
44.5
0.199562
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1.543644
1.45285
1.650376
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0.632744
0.438153
0.397101
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0.038797
7,649
train
H0
H23
300
300
40
37
43.333333
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1.030219
0.120679
0.120961
2.891095
6.703771
3.538251
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train
H1
H23
300
300
40
39.333333
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7,649
train
H0
H23
500
500
40
42.6
39.2
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7,649
train
H1
H23
500
500
40
40.4
40.6
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7,649
train
H0
H23
1,000
1,000
40
41.3
42.2
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7,649
train
H1
H23
1,000
1,000
40
39
42
1.072664
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7,649
train
H0
H23
20
20
50
60
45
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7,649
train
H1
H23
20
20
50
35
55
0.332698
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7,649
train
H0
H23
30
30
50
56.666667
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7,649
train
H1
H23
30
30
50
50
26.666667
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7,649
train
H0
H23
50
50
50
44
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0.252111
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7,649
train
H1
H23
50
50
50
50
40
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7,649
train
H0
H23
75
75
50
42.666667
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7,649
train
H1
H23
75
75
50
48
52
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7,649
train
H0
H23
100
100
50
52
51
0.52136
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7,649
train
H1
H23
100
100
50
46
49
0.002404
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7,649
train
H0
H23
150
150
50
43.333333
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7,649
train
H1
H23
150
150
50
50.666667
48.666667
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7,649
train
H0
H23
200
200
50
52.5
52.5
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2.107286
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7,649
train
H1
H23
200
200
50
43
51.5
1.281873
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7,649
train
H0
H23
300
300
50
47.333333
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1.401317
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9.74703
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7,649
train
H1
H23
300
300
50
51
49.666667
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0.4147
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7,649
train
H0
H23
500
500
50
49.6
49.4
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1.160774
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3.009388
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7,649
train
H1
H23
500
500
50
50.8
50.8
0.277935
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2.478513
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7,649
train
H0
H23
1,000
1,000
50
51.1
49.3
0.915961
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7,649
train
H1
H23
1,000
1,000
50
50.9
53.2
1.351204
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2.591892
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1.351204
1.552842
0.175246
2.412393
1.862644
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7,649
train
H0
H24
20
20
0
0
0
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1.070545
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3.487386
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0.273172
1.14106
1.129654
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7,649
train
H1
H24
20
20
0
0
0
1.623005
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3.187456
6.115081
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1.623005
0.100242
2.033951
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7,649
train
H0
H24
30
30
0
0
0
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0.318975
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2.367694
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7,649
train
H1
H24
30
30
0
0
0
0.887066
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7,649
train
H0
H24
50
50
0
0
0
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0.108288
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0.463245
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0.672557
0.011496
0.141857
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7,649
train
H1
H24
50
50
0
0
0
0.151664
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0.429985
0.433977
2.477511
9.027863
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0.429985
0.028923
0.188336
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7,649
train
H0
H24
75
75
0
0
0
0.373993
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1.699384
2.404158
2.049742
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0.994333
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0.443856
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1.919222
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7,649
train
H1
H24
75
75
0
0
0
0.415339
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0.320059
0.319991
2.497148
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0.415339
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0.102394
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7,649
train
H0
H24
100
100
0
0
0
0.820979
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1.669468
2.801812
1.57708
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1.173586
0.410486
1.384686
0.947736
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1.467293
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7,649
train
H1
H24
100
100
0
0
0
0.696366
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2.966899
2.606307
3.42162
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1.428171
0.180719
2.065973
1.207648
0.486986
3.381251
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7,649
train
H0
H24
150
150
0
0
0
0.961066
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0.193287
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6.441467
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5.593423
0.961066
0.961066
0.06101
0.03786
0.365465
0.923859
1.679447
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0.962672
7,649
train
H1
H24
150
150
0
0
0
-1.506824
1.506824
1.409719
1.411079
2.048921
4.684751
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0.131211
1.991144
2.011861
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0.895586
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7,649
train
H0
H24
200
200
0
0
0
-0.71185
0.71185
1.036743
1.034735
1.220219
1.233941
1.216305
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1.036743
0.476006
1.070677
0.743413
0.506476
1.231333
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7,649
train
H1
H24
200
200
0
0
0
0.879649
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2.863074
3.78975
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0.879649
0.879649
0.285081
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0.527466
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7,649
train
H0
H24
300
300
0
0
0
0.314165
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0.114578
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1.585142
0.703244
0.314165
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0.662763
0.013041
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7,649
train
H1
H24
300
300
0
0
0
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7,649
train
H0
H24
500
500
0
0
0
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0.666793
0.911864
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0.880936
0.953086
0.891743
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0.911864
0.504691
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0.628476
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7,649
train
H1
H24
500
500
0
0
0
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0.486573
0.121623
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6.542532
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0.12178
0.486573
0.088
0.01483
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7,649
train
H0
H24
1,000
1,000
0
0
0
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0.870635
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0.829369
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0.33451
0.756777
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7,649
train
H1
H24
1,000
1,000
0
0
0
0.272125
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0.841708
0.848808
10.742122
23.565544
5.056739
0.848808
0.841708
0.000031
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2.836338
2.743923
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