교수님.
안녕하세요?
생존 분석을 하는데 질문이 있어 이렇게 글을 올립니다.
두 환자군(Liquid, Solid group)에서 항생제 치료를 시작한 것을 survival curve로 분석하려고 합니다.
KM curve를 그리고 아래와 같이 작성해 보고자 합니다.
1. 전체 환자그룹에서 항생제 치료를 시작한 cumulative rate는 ( )%였고, 95% CI는 얼마였다.
2. 총 관찰기간 중에, Liquid group과 solid group에서 항생제 치료를 시작한 cumulative rate과 95% CI는 각각 ( )%로 통계적으로 의미있게 차이를 보였다(P= )
제가 웹에서 하는 R로 통계를 돌렸는데 아래와 같이 작성을 해도 괜찮은 건지 여쭙고 싶습니다.
제가 궁금한 것은 follow-up 기간이 다른 두 그룹의 총 cumulative rate와 95% CI를 제시하고 이 두그릎의 생존이 다르다는 것을 보이기 위해
P 값을 log-rank test로 값을 제공하는 게 옳은 것인지 모르겠습니다. KM 생존 분석에서 제공되는 P값은 어느 시점의 P 값인지요?
Overall, the cumulative rate of patients who required antibiotic treatment was 74.3% (95% CI, 70.5% - 80.2%).
During the total follow-up period, the cumulative rate of patients who required initiation of antibiotic treatment was lower
in liquid culture group than the solid culture group (61.9%; 95% CI, 36.8% - 77.0% vs. 75.8; 95% CI, 70.5%-80.2%, P = 0.003)
분석결과에 could not find function "comp"
라는 massage가 떠서 download가 안되어서 결과를 아래에 붙였습니다.
Call: survfit(formula = Surv(time, treatment) ~ culture, data = uploaded)
n events median 0.95LCL 0.95UCL
culture=Liquid 111 49 40.9 22.5 NA
culture=Solid 867 534 15.4 13.0 19.6
Summary
Call: survfit(formula = Surv(time, treatment) ~ culture, data = uploaded)
culture=Liquid
time n.risk n.event survival std.err lower 95% CI upper 95% CI
0.2 111 1 0.991 0.00897 0.974 1.000
0.5 110 2 0.973 0.01539 0.943 1.000
0.9 108 1 0.964 0.01769 0.930 0.999
1.0 107 3 0.937 0.02307 0.893 0.983
1.2 103 3 0.910 0.02725 0.858 0.965
1.4 100 3 0.882 0.03065 0.824 0.945
2.1 95 1 0.873 0.03171 0.813 0.937
2.3 94 1 0.864 0.03270 0.802 0.930
2.4 93 1 0.854 0.03364 0.791 0.923
2.5 91 1 0.845 0.03456 0.780 0.916
2.8 88 4 0.807 0.03795 0.736 0.885
3.1 84 1 0.797 0.03870 0.725 0.877
3.3 83 1 0.787 0.03940 0.714 0.869
3.5 82 1 0.778 0.04008 0.703 0.861
3.7 81 1 0.768 0.04072 0.692 0.852
4.0 79 2 0.749 0.04194 0.671 0.836
4.3 77 1 0.739 0.04251 0.660 0.827
4.5 75 1 0.729 0.04307 0.650 0.819
6.7 74 1 0.719 0.04360 0.639 0.810
7.4 72 1 0.709 0.04413 0.628 0.801
8.0 70 1 0.699 0.04465 0.617 0.792
8.6 69 1 0.689 0.04513 0.606 0.784
9.0 67 1 0.679 0.04562 0.595 0.774
10.3 65 1 0.668 0.04610 0.584 0.765
11.2 64 2 0.648 0.04696 0.562 0.746
14.3 60 1 0.637 0.04740 0.550 0.737
14.4 59 1 0.626 0.04781 0.539 0.727
15.3 57 1 0.615 0.04822 0.527 0.717
15.9 54 1 0.604 0.04865 0.515 0.707
20.4 46 1 0.590 0.04933 0.501 0.695
22.5 42 1 0.576 0.05012 0.486 0.683
23.5 40 1 0.562 0.05090 0.471 0.671
24.3 38 1 0.547 0.05166 0.455 0.658
25.0 34 1 0.531 0.05259 0.437 0.645
26.1 30 1 0.513 0.05373 0.418 0.630
40.9 14 1 0.477 0.06114 0.371 0.613
56.7 5 1 0.381 0.09831 0.230 0.632
culture=Solid
time n.risk n.event survival std.err lower 95% CI upper 95% CI
0.0 867 11 0.987 0.00380 0.980 0.995
0.1 856 5 0.982 0.00457 0.973 0.991
0.2 851 13 0.967 0.00611 0.955 0.979
0.3 838 9 0.956 0.00695 0.943 0.970
0.4 829 4 0.952 0.00729 0.937 0.966
0.5 825 11 0.939 0.00814 0.923 0.955
0.6 813 3 0.935 0.00835 0.919 0.952
0.7 810 11 0.923 0.00907 0.905 0.941
0.8 798 14 0.907 0.00989 0.887 0.926
0.9 784 24 0.879 0.01109 0.857 0.901
1.0 760 14 0.863 0.01170 0.840 0.886
1.1 746 6 0.856 0.01194 0.833 0.879
1.2 740 12 0.842 0.01240 0.818 0.866
1.3 728 9 0.831 0.01273 0.807 0.857
1.4 718 18 0.811 0.01332 0.785 0.837
1.5 699 8 0.801 0.01357 0.775 0.828
1.6 691 10 0.790 0.01386 0.763 0.817
1.7 681 5 0.784 0.01400 0.757 0.812
1.8 676 10 0.772 0.01426 0.745 0.801
1.9 666 8 0.763 0.01446 0.735 0.792
2.0 658 6 0.756 0.01461 0.728 0.785
2.1 651 10 0.744 0.01484 0.716 0.774
2.2 641 3 0.741 0.01490 0.712 0.771
2.3 638 9 0.730 0.01509 0.701 0.761
2.4 628 4 0.726 0.01518 0.697 0.756
2.5 622 5 0.720 0.01528 0.691 0.751
2.6 615 2 0.718 0.01532 0.688 0.748
2.7 613 3 0.714 0.01538 0.685 0.745
2.8 610 5 0.708 0.01547 0.679 0.739
2.9 605 1 0.707 0.01549 0.677 0.738
3.0 604 6 0.700 0.01560 0.670 0.731
3.1 597 4 0.695 0.01567 0.665 0.727
3.2 593 2 0.693 0.01570 0.663 0.725
3.3 591 5 0.687 0.01579 0.657 0.719
3.5 586 4 0.682 0.01585 0.652 0.714
3.6 582 1 0.681 0.01587 0.651 0.713
3.7 581 7 0.673 0.01598 0.643 0.705
3.8 573 1 0.672 0.01599 0.641 0.704
3.9 572 3 0.668 0.01604 0.638 0.701
4.0 568 2 0.666 0.01607 0.635 0.698
4.1 566 3 0.663 0.01611 0.632 0.695
4.2 563 2 0.660 0.01614 0.629 0.693
4.3 561 1 0.659 0.01616 0.628 0.691
4.4 560 2 0.657 0.01618 0.626 0.689
4.5 558 1 0.655 0.01620 0.624 0.688
4.6 557 4 0.651 0.01625 0.620 0.683
4.7 551 2 0.648 0.01628 0.617 0.681
4.8 547 1 0.647 0.01629 0.616 0.680
4.9 545 1 0.646 0.01630 0.615 0.679
5.0 544 2 0.644 0.01633 0.612 0.676
5.1 542 2 0.641 0.01636 0.610 0.674
5.2 540 1 0.640 0.01637 0.609 0.673
5.3 539 1 0.639 0.01638 0.608 0.672
5.4 537 2 0.637 0.01641 0.605 0.670
5.6 533 4 0.632 0.01646 0.600 0.665
5.7 528 2 0.629 0.01648 0.598 0.662
5.8 526 1 0.628 0.01649 0.597 0.661
6.0 523 3 0.625 0.01653 0.593 0.658
6.5 516 5 0.618 0.01659 0.587 0.652
6.6 511 3 0.615 0.01662 0.583 0.648
6.7 507 2 0.612 0.01665 0.581 0.646
6.8 504 1 0.611 0.01666 0.579 0.645
7.2 502 2 0.609 0.01668 0.577 0.642
7.4 499 1 0.608 0.01669 0.576 0.641
7.7 497 3 0.604 0.01672 0.572 0.638
8.1 490 2 0.601 0.01675 0.569 0.635
8.3 486 2 0.599 0.01677 0.567 0.633
8.4 483 1 0.598 0.01678 0.566 0.632
8.5 482 1 0.596 0.01679 0.564 0.630
8.8 480 1 0.595 0.01680 0.563 0.629
8.9 479 2 0.593 0.01682 0.561 0.627
9.1 477 2 0.590 0.01684 0.558 0.624
9.2 474 2 0.588 0.01686 0.556 0.622
9.3 471 1 0.587 0.01688 0.554 0.621
9.4 469 2 0.584 0.01690 0.552 0.618
9.6 464 1 0.583 0.01691 0.551 0.617
9.8 461 1 0.582 0.01692 0.549 0.616
10.2 459 3 0.578 0.01695 0.545 0.612
10.3 456 1 0.576 0.01696 0.544 0.611
10.4 455 1 0.575 0.01697 0.543 0.609
10.5 454 3 0.571 0.01700 0.539 0.606
10.6 451 2 0.569 0.01702 0.536 0.603
10.7 448 4 0.564 0.01705 0.531 0.598
10.9 444 1 0.562 0.01706 0.530 0.597
11.3 441 1 0.561 0.01707 0.529 0.596
11.4 440 3 0.557 0.01710 0.525 0.592
11.5 437 1 0.556 0.01710 0.524 0.591
11.6 435 1 0.555 0.01711 0.522 0.589
11.7 433 1 0.554 0.01712 0.521 0.588
12.0 432 1 0.552 0.01713 0.520 0.587
12.1 431 3 0.548 0.01715 0.516 0.583
12.2 428 1 0.547 0.01716 0.515 0.582
12.3 426 1 0.546 0.01717 0.513 0.581
12.4 425 2 0.543 0.01718 0.511 0.578
12.5 422 2 0.541 0.01720 0.508 0.575
12.8 414 3 0.537 0.01722 0.504 0.572
12.9 411 2 0.534 0.01724 0.501 0.569
13.0 407 2 0.532 0.01725 0.499 0.566
13.2 405 2 0.529 0.01727 0.496 0.564
13.3 403 1 0.528 0.01727 0.495 0.563
13.7 400 1 0.526 0.01728 0.494 0.561
13.8 398 2 0.524 0.01729 0.491 0.559
13.9 396 1 0.522 0.01730 0.490 0.557
14.0 395 1 0.521 0.01731 0.488 0.556
14.2 393 3 0.517 0.01733 0.484 0.552
14.3 387 3 0.513 0.01735 0.480 0.548
14.5 383 1 0.512 0.01735 0.479 0.547
14.6 382 3 0.508 0.01737 0.475 0.543
14.8 378 1 0.506 0.01738 0.473 0.542
14.9 377 1 0.505 0.01738 0.472 0.540
15.0 375 2 0.502 0.01739 0.469 0.538
15.2 373 1 0.501 0.01740 0.468 0.536
15.4 369 1 0.500 0.01741 0.467 0.535
15.6 367 1 0.498 0.01741 0.465 0.534
16.2 363 1 0.497 0.01742 0.464 0.532
16.4 362 1 0.495 0.01742 0.462 0.531
16.5 361 1 0.494 0.01743 0.461 0.529
16.8 356 2 0.491 0.01744 0.458 0.527
16.9 351 1 0.490 0.01745 0.457 0.525
17.3 344 1 0.489 0.01745 0.455 0.524
17.4 343 1 0.487 0.01746 0.454 0.523
17.6 339 1 0.486 0.01747 0.453 0.521
17.7 336 1 0.484 0.01748 0.451 0.520
17.8 333 1 0.483 0.01749 0.450 0.518
18.0 330 1 0.481 0.01749 0.448 0.517
18.1 325 1 0.480 0.01750 0.447 0.515
18.3 323 1 0.478 0.01751 0.445 0.514
18.4 320 1 0.477 0.01752 0.444 0.512
18.7 316 1 0.475 0.01753 0.442 0.511
18.8 315 2 0.472 0.01755 0.439 0.508
19.0 311 1 0.471 0.01756 0.438 0.506
19.1 310 3 0.466 0.01758 0.433 0.502
19.6 300 2 0.463 0.01760 0.430 0.499
19.7 298 1 0.462 0.01761 0.428 0.497
19.8 297 1 0.460 0.01762 0.427 0.496
20.1 290 1 0.458 0.01763 0.425 0.494
20.5 287 2 0.455 0.01765 0.422 0.491
20.6 285 1 0.454 0.01766 0.420 0.490
20.7 283 2 0.450 0.01768 0.417 0.486
20.8 280 1 0.449 0.01769 0.415 0.485
21.0 277 1 0.447 0.01770 0.414 0.483
21.1 276 1 0.446 0.01771 0.412 0.482
21.4 273 1 0.444 0.01772 0.411 0.480
21.6 271 1 0.442 0.01773 0.409 0.478
21.7 270 1 0.441 0.01774 0.407 0.477
22.2 268 1 0.439 0.01775 0.406 0.475
22.4 266 2 0.436 0.01777 0.402 0.472
22.7 260 1 0.434 0.01778 0.401 0.470
22.8 259 1 0.432 0.01779 0.399 0.469
22.9 258 2 0.429 0.01781 0.395 0.465
23.0 256 2 0.426 0.01783 0.392 0.462
23.3 253 1 0.424 0.01784 0.390 0.460
23.5 251 1 0.422 0.01785 0.389 0.459
23.6 249 1 0.421 0.01786 0.387 0.457
23.8 246 3 0.415 0.01788 0.382 0.452
23.9 243 2 0.412 0.01790 0.378 0.449
24.0 240 2 0.409 0.01791 0.375 0.445
24.5 231 2 0.405 0.01793 0.371 0.442
24.6 228 1 0.403 0.01794 0.370 0.440
25.2 221 1 0.401 0.01795 0.368 0.438
25.6 216 1 0.400 0.01796 0.366 0.436
25.9 211 1 0.398 0.01798 0.364 0.435
26.0 209 1 0.396 0.01799 0.362 0.433
26.8 198 1 0.394 0.01801 0.360 0.431
27.0 197 1 0.392 0.01803 0.358 0.429
27.1 195 1 0.390 0.01805 0.356 0.427
27.3 190 2 0.386 0.01809 0.352 0.423
27.8 186 1 0.384 0.01811 0.350 0.421
28.4 183 1 0.382 0.01814 0.348 0.419
28.5 182 2 0.377 0.01818 0.343 0.415
29.5 171 1 0.375 0.01820 0.341 0.413
29.6 170 2 0.371 0.01826 0.337 0.408
29.7 168 1 0.369 0.01828 0.334 0.406
29.8 167 1 0.366 0.01830 0.332 0.404
30.0 164 2 0.362 0.01835 0.328 0.400
31.0 153 1 0.359 0.01838 0.325 0.397
31.1 152 1 0.357 0.01841 0.323 0.395
31.3 151 1 0.355 0.01844 0.320 0.393
32.4 148 1 0.352 0.01847 0.318 0.390
33.1 143 2 0.347 0.01854 0.313 0.386
34.4 134 1 0.345 0.01858 0.310 0.383
34.9 129 1 0.342 0.01863 0.308 0.381
35.0 127 1 0.339 0.01868 0.305 0.378
36.6 115 1 0.337 0.01875 0.302 0.375
36.7 113 1 0.334 0.01882 0.299 0.373
36.9 112 1 0.331 0.01888 0.296 0.370
37.8 107 1 0.327 0.01896 0.292 0.367
38.0 105 1 0.324 0.01903 0.289 0.364
38.1 104 1 0.321 0.01910 0.286 0.361
38.2 103 1 0.318 0.01917 0.283 0.358
38.3 102 1 0.315 0.01923 0.279 0.355
39.0 98 1 0.312 0.01930 0.276 0.352
39.4 96 1 0.309 0.01937 0.273 0.349
41.2 86 1 0.305 0.01948 0.269 0.346
42.0 78 1 0.301 0.01962 0.265 0.342
42.5 77 1 0.297 0.01975 0.261 0.338
43.2 72 1 0.293 0.01990 0.256 0.335
43.9 69 1 0.289 0.02006 0.252 0.331
44.5 66 1 0.284 0.02023 0.247 0.327
44.9 65 1 0.280 0.02038 0.243 0.323
46.7 60 1 0.275 0.02057 0.238 0.319
48.0 55 1 0.270 0.02080 0.232 0.314
51.4 43 1 0.264 0.02124 0.226 0.309
59.2 24 1 0.253 0.02303 0.212 0.302
60.1 23 1 0.242 0.02452 0.198 0.295
76.9 1 1 0.000 NaN NA NA
newreg= Surv(time,treatment)~culture
Summary of Statistics
records n.max n.start events *rmean *se(rmean) *LCL(rmean)
culture=Liquid 111 111 111 49 40.38655 3.857606 32.82564
culture=Solid 867 867 867 534 29.09719 1.208974 26.72760
*UCL(rmean) median se 0.95LCL 0.95UCL
culture=Liquid 47.94746 40.9 9.387755 22.5 NA
culture=Solid 31.46678 15.4 1.224490 13.0 19.6
Summary Tables
Call: survfit(formula = as.formula(newreg), data = df())
culture=Liquid
time n.risk n.event survival std.err lower 95% CI upper 95% CI
0.2 111 1 0.991 0.00897 0.974 1.000
0.5 110 2 0.973 0.01539 0.943 1.000
0.9 108 1 0.964 0.01769 0.930 0.999
1.0 107 3 0.937 0.02307 0.893 0.983
1.2 103 3 0.910 0.02725 0.858 0.965
1.4 100 3 0.882 0.03065 0.824 0.945
2.1 95 1 0.873 0.03171 0.813 0.937
2.3 94 1 0.864 0.03270 0.802 0.930
2.4 93 1 0.854 0.03364 0.791 0.923
2.5 91 1 0.845 0.03456 0.780 0.916
2.8 88 4 0.807 0.03795 0.736 0.885
3.1 84 1 0.797 0.03870 0.725 0.877
3.3 83 1 0.787 0.03940 0.714 0.869
3.5 82 1 0.778 0.04008 0.703 0.861
3.7 81 1 0.768 0.04072 0.692 0.852
4.0 79 2 0.749 0.04194 0.671 0.836
4.3 77 1 0.739 0.04251 0.660 0.827
4.5 75 1 0.729 0.04307 0.650 0.819
6.7 74 1 0.719 0.04360 0.639 0.810
7.4 72 1 0.709 0.04413 0.628 0.801
8.0 70 1 0.699 0.04465 0.617 0.792
8.6 69 1 0.689 0.04513 0.606 0.784
9.0 67 1 0.679 0.04562 0.595 0.774
10.3 65 1 0.668 0.04610 0.584 0.765
11.2 64 2 0.648 0.04696 0.562 0.746
14.3 60 1 0.637 0.04740 0.550 0.737
14.4 59 1 0.626 0.04781 0.539 0.727
15.3 57 1 0.615 0.04822 0.527 0.717
15.9 54 1 0.604 0.04865 0.515 0.707
20.4 46 1 0.590 0.04933 0.501 0.695
22.5 42 1 0.576 0.05012 0.486 0.683
23.5 40 1 0.562 0.05090 0.471 0.671
24.3 38 1 0.547 0.05166 0.455 0.658
25.0 34 1 0.531 0.05259 0.437 0.645
26.1 30 1 0.513 0.05373 0.418 0.630
40.9 14 1 0.477 0.06114 0.371 0.613
56.7 5 1 0.381 0.09831 0.230 0.632
culture=Solid
time n.risk n.event survival std.err lower 95% CI upper 95% CI
0.0 867 11 0.987 0.00380 0.980 0.995
0.1 856 5 0.982 0.00457 0.973 0.991
0.2 851 13 0.967 0.00611 0.955 0.979
0.3 838 9 0.956 0.00695 0.943 0.970
0.4 829 4 0.952 0.00729 0.937 0.966
0.5 825 11 0.939 0.00814 0.923 0.955
0.6 813 3 0.935 0.00835 0.919 0.952
0.7 810 11 0.923 0.00907 0.905 0.941
0.8 798 14 0.907 0.00989 0.887 0.926
0.9 784 24 0.879 0.01109 0.857 0.901
1.0 760 14 0.863 0.01170 0.840 0.886
1.1 746 6 0.856 0.01194 0.833 0.879
1.2 740 12 0.842 0.01240 0.818 0.866
1.3 728 9 0.831 0.01273 0.807 0.857
1.4 718 18 0.811 0.01332 0.785 0.837
1.5 699 8 0.801 0.01357 0.775 0.828
1.6 691 10 0.790 0.01386 0.763 0.817
1.7 681 5 0.784 0.01400 0.757 0.812
1.8 676 10 0.772 0.01426 0.745 0.801
1.9 666 8 0.763 0.01446 0.735 0.792
2.0 658 6 0.756 0.01461 0.728 0.785
2.1 651 10 0.744 0.01484 0.716 0.774
2.2 641 3 0.741 0.01490 0.712 0.771
2.3 638 9 0.730 0.01509 0.701 0.761
2.4 628 4 0.726 0.01518 0.697 0.756
2.5 622 5 0.720 0.01528 0.691 0.751
2.6 615 2 0.718 0.01532 0.688 0.748
2.7 613 3 0.714 0.01538 0.685 0.745
2.8 610 5 0.708 0.01547 0.679 0.739
2.9 605 1 0.707 0.01549 0.677 0.738
3.0 604 6 0.700 0.01560 0.670 0.731
3.1 597 4 0.695 0.01567 0.665 0.727
3.2 593 2 0.693 0.01570 0.663 0.725
3.3 591 5 0.687 0.01579 0.657 0.719
3.5 586 4 0.682 0.01585 0.652 0.714
3.6 582 1 0.681 0.01587 0.651 0.713
3.7 581 7 0.673 0.01598 0.643 0.705
3.8 573 1 0.672 0.01599 0.641 0.704
3.9 572 3 0.668 0.01604 0.638 0.701
4.0 568 2 0.666 0.01607 0.635 0.698
4.1 566 3 0.663 0.01611 0.632 0.695
4.2 563 2 0.660 0.01614 0.629 0.693
4.3 561 1 0.659 0.01616 0.628 0.691
4.4 560 2 0.657 0.01618 0.626 0.689
4.5 558 1 0.655 0.01620 0.624 0.688
4.6 557 4 0.651 0.01625 0.620 0.683
4.7 551 2 0.648 0.01628 0.617 0.681
4.8 547 1 0.647 0.01629 0.616 0.680
4.9 545 1 0.646 0.01630 0.615 0.679
5.0 544 2 0.644 0.01633 0.612 0.676
5.1 542 2 0.641 0.01636 0.610 0.674
5.2 540 1 0.640 0.01637 0.609 0.673
5.3 539 1 0.639 0.01638 0.608 0.672
5.4 537 2 0.637 0.01641 0.605 0.670
5.6 533 4 0.632 0.01646 0.600 0.665
5.7 528 2 0.629 0.01648 0.598 0.662
5.8 526 1 0.628 0.01649 0.597 0.661
6.0 523 3 0.625 0.01653 0.593 0.658
6.5 516 5 0.618 0.01659 0.587 0.652
6.6 511 3 0.615 0.01662 0.583 0.648
6.7 507 2 0.612 0.01665 0.581 0.646
6.8 504 1 0.611 0.01666 0.579 0.645
7.2 502 2 0.609 0.01668 0.577 0.642
7.4 499 1 0.608 0.01669 0.576 0.641
7.7 497 3 0.604 0.01672 0.572 0.638
8.1 490 2 0.601 0.01675 0.569 0.635
8.3 486 2 0.599 0.01677 0.567 0.633
8.4 483 1 0.598 0.01678 0.566 0.632
8.5 482 1 0.596 0.01679 0.564 0.630
8.8 480 1 0.595 0.01680 0.563 0.629
8.9 479 2 0.593 0.01682 0.561 0.627
9.1 477 2 0.590 0.01684 0.558 0.624
9.2 474 2 0.588 0.01686 0.556 0.622
9.3 471 1 0.587 0.01688 0.554 0.621
9.4 469 2 0.584 0.01690 0.552 0.618
9.6 464 1 0.583 0.01691 0.551 0.617
9.8 461 1 0.582 0.01692 0.549 0.616
10.2 459 3 0.578 0.01695 0.545 0.612
10.3 456 1 0.576 0.01696 0.544 0.611
10.4 455 1 0.575 0.01697 0.543 0.609
10.5 454 3 0.571 0.01700 0.539 0.606
10.6 451 2 0.569 0.01702 0.536 0.603
10.7 448 4 0.564 0.01705 0.531 0.598
10.9 444 1 0.562 0.01706 0.530 0.597
11.3 441 1 0.561 0.01707 0.529 0.596
11.4 440 3 0.557 0.01710 0.525 0.592
11.5 437 1 0.556 0.01710 0.524 0.591
11.6 435 1 0.555 0.01711 0.522 0.589
11.7 433 1 0.554 0.01712 0.521 0.588
12.0 432 1 0.552 0.01713 0.520 0.587
12.1 431 3 0.548 0.01715 0.516 0.583
12.2 428 1 0.547 0.01716 0.515 0.582
12.3 426 1 0.546 0.01717 0.513 0.581
12.4 425 2 0.543 0.01718 0.511 0.578
12.5 422 2 0.541 0.01720 0.508 0.575
12.8 414 3 0.537 0.01722 0.504 0.572
12.9 411 2 0.534 0.01724 0.501 0.569
13.0 407 2 0.532 0.01725 0.499 0.566
13.2 405 2 0.529 0.01727 0.496 0.564
13.3 403 1 0.528 0.01727 0.495 0.563
13.7 400 1 0.526 0.01728 0.494 0.561
13.8 398 2 0.524 0.01729 0.491 0.559
13.9 396 1 0.522 0.01730 0.490 0.557
14.0 395 1 0.521 0.01731 0.488 0.556
14.2 393 3 0.517 0.01733 0.484 0.552
14.3 387 3 0.513 0.01735 0.480 0.548
14.5 383 1 0.512 0.01735 0.479 0.547
14.6 382 3 0.508 0.01737 0.475 0.543
14.8 378 1 0.506 0.01738 0.473 0.542
14.9 377 1 0.505 0.01738 0.472 0.540
15.0 375 2 0.502 0.01739 0.469 0.538
15.2 373 1 0.501 0.01740 0.468 0.536
15.4 369 1 0.500 0.01741 0.467 0.535
15.6 367 1 0.498 0.01741 0.465 0.534
16.2 363 1 0.497 0.01742 0.464 0.532
16.4 362 1 0.495 0.01742 0.462 0.531
16.5 361 1 0.494 0.01743 0.461 0.529
16.8 356 2 0.491 0.01744 0.458 0.527
16.9 351 1 0.490 0.01745 0.457 0.525
17.3 344 1 0.489 0.01745 0.455 0.524
17.4 343 1 0.487 0.01746 0.454 0.523
17.6 339 1 0.486 0.01747 0.453 0.521
17.7 336 1 0.484 0.01748 0.451 0.520
17.8 333 1 0.483 0.01749 0.450 0.518
18.0 330 1 0.481 0.01749 0.448 0.517
18.1 325 1 0.480 0.01750 0.447 0.515
18.3 323 1 0.478 0.01751 0.445 0.514
18.4 320 1 0.477 0.01752 0.444 0.512
18.7 316 1 0.475 0.01753 0.442 0.511
18.8 315 2 0.472 0.01755 0.439 0.508
19.0 311 1 0.471 0.01756 0.438 0.506
19.1 310 3 0.466 0.01758 0.433 0.502
19.6 300 2 0.463 0.01760 0.430 0.499
19.7 298 1 0.462 0.01761 0.428 0.497
19.8 297 1 0.460 0.01762 0.427 0.496
20.1 290 1 0.458 0.01763 0.425 0.494
20.5 287 2 0.455 0.01765 0.422 0.491
20.6 285 1 0.454 0.01766 0.420 0.490
20.7 283 2 0.450 0.01768 0.417 0.486
20.8 280 1 0.449 0.01769 0.415 0.485
21.0 277 1 0.447 0.01770 0.414 0.483
21.1 276 1 0.446 0.01771 0.412 0.482
21.4 273 1 0.444 0.01772 0.411 0.480
21.6 271 1 0.442 0.01773 0.409 0.478
21.7 270 1 0.441 0.01774 0.407 0.477
22.2 268 1 0.439 0.01775 0.406 0.475
22.4 266 2 0.436 0.01777 0.402 0.472
22.7 260 1 0.434 0.01778 0.401 0.470
22.8 259 1 0.432 0.01779 0.399 0.469
22.9 258 2 0.429 0.01781 0.395 0.465
23.0 256 2 0.426 0.01783 0.392 0.462
23.3 253 1 0.424 0.01784 0.390 0.460
23.5 251 1 0.422 0.01785 0.389 0.459
23.6 249 1 0.421 0.01786 0.387 0.457
23.8 246 3 0.415 0.01788 0.382 0.452
23.9 243 2 0.412 0.01790 0.378 0.449
24.0 240 2 0.409 0.01791 0.375 0.445
24.5 231 2 0.405 0.01793 0.371 0.442
24.6 228 1 0.403 0.01794 0.370 0.440
25.2 221 1 0.401 0.01795 0.368 0.438
25.6 216 1 0.400 0.01796 0.366 0.436
25.9 211 1 0.398 0.01798 0.364 0.435
26.0 209 1 0.396 0.01799 0.362 0.433
26.8 198 1 0.394 0.01801 0.360 0.431
27.0 197 1 0.392 0.01803 0.358 0.429
27.1 195 1 0.390 0.01805 0.356 0.427
27.3 190 2 0.386 0.01809 0.352 0.423
27.8 186 1 0.384 0.01811 0.350 0.421
28.4 183 1 0.382 0.01814 0.348 0.419
28.5 182 2 0.377 0.01818 0.343 0.415
29.5 171 1 0.375 0.01820 0.341 0.413
29.6 170 2 0.371 0.01826 0.337 0.408
29.7 168 1 0.369 0.01828 0.334 0.406
29.8 167 1 0.366 0.01830 0.332 0.404
30.0 164 2 0.362 0.01835 0.328 0.400
31.0 153 1 0.359 0.01838 0.325 0.397
31.1 152 1 0.357 0.01841 0.323 0.395
31.3 151 1 0.355 0.01844 0.320 0.393
32.4 148 1 0.352 0.01847 0.318 0.390
33.1 143 2 0.347 0.01854 0.313 0.386
34.4 134 1 0.345 0.01858 0.310 0.383
34.9 129 1 0.342 0.01863 0.308 0.381
35.0 127 1 0.339 0.01868 0.305 0.378
36.6 115 1 0.337 0.01875 0.302 0.375
36.7 113 1 0.334 0.01882 0.299 0.373
36.9 112 1 0.331 0.01888 0.296 0.370
37.8 107 1 0.327 0.01896 0.292 0.367
38.0 105 1 0.324 0.01903 0.289 0.364
38.1 104 1 0.321 0.01910 0.286 0.361
38.2 103 1 0.318 0.01917 0.283 0.358
38.3 102 1 0.315 0.01923 0.279 0.355
39.0 98 1 0.312 0.01930 0.276 0.352
39.4 96 1 0.309 0.01937 0.273 0.349
41.2 86 1 0.305 0.01948 0.269 0.346
42.0 78 1 0.301 0.01962 0.265 0.342
42.5 77 1 0.297 0.01975 0.261 0.338
43.2 72 1 0.293 0.01990 0.256 0.335
43.9 69 1 0.289 0.02006 0.252 0.331
44.5 66 1 0.284 0.02023 0.247 0.327
44.9 65 1 0.280 0.02038 0.243 0.323
46.7 60 1 0.275 0.02057 0.238 0.319
48.0 55 1 0.270 0.02080 0.232 0.314
51.4 43 1 0.264 0.02124 0.226 0.309
59.2 24 1 0.253 0.02303 0.212 0.302
60.1 23 1 0.242 0.02452 0.198 0.295
76.9 1 1 0.000 NaN NA NA
Results of Multivariate Analysis
Perform multiple analysis with variables which showed p-value less than 0.2 in univariate Cox proportional hazard model.
| HR | lcl | ucl | se(coef) | z | Pr(>|z|) | |
|---|---|---|---|---|---|---|
| cultureSolid | 1.571 | 1.172 | 2.106 | 0.149 | 3.023 | 0.0025 |
Web-R을 이용해 주셔서 감사하고 또 축하드립니다.
1. 전체 환자그룹에서 항생제 치료를 시작한 cumulative rate는 ( )%였고, 95% CI는 얼마였다.
2. 총 관찰기간 중에, Liquid group과 solid group에서
항생제 치료를 시작한 cumulative rate과 95% CI는 각각 ( )%로통계적으로 의미있게 차이를 보였다(P= )에서, 일단 생존분석을 한다는 것은 생존 기간 전체를 비교한다는 것이지, 어떤 시점 자체를 비교하는 것은 아닙니다.
오히려 어떤 시점(5년이라든지)의 비교는 사실은 카이제곱 검정과도 같은 것이지요.
실제로 log-rank test 등도 사실의 내부적으로 카이제곱 통계량이 중간에 사용됩니다.
그러므로 위의 질문 자체는 바뀌어야 합니다.
1. 두 생존 곡선이 전구간에 걸쳐볼 때 통계적으로 차이가 있느냐를 보기 위해서 log-rank test 등을 시행하면 됩니다.
2. 특정 시점에서의 예를 들면 5년의 누적 생존율을 구하고, 그 시점에서의 생존율이 차이가 있느냐
를 보기 위해서는 제가 이전에 올려 준 글과 계산하는 사이트가 있으므로 링크 걸어 두겠습니다.
http://statistics4everyone.blogspot.com/2016/03/survival-analysis.html
이건 계산하는 사이트인데,
설명하는 것은 지금 검색해 보니 잘 안나오네요.
가급적 시간되는대로 사용법도 올리도록 하겠습니다.
항생제 치료를 시작한 cumulative rate과 95% CI는 각각 ( )%로요렇게 표현하지 않고, 보통 중앙생존기간과 95% 신뢰구간으로 표현합니다.
http://blog.naver.com/kjhnav/220556670317
동영상 설명을 보시면 될 것같네요. 전체적인 개념도 나와 있으니까요...
Web-R 운영진 김지형 씀