Call: survfit(formula = Surv(futime, fustat) ~ risk, data = rt) risk=high time n.risk n.event survival std.err lower 95% CI upper 95% CI 0.0301 152 1 0.993 0.00656 0.981 1.000 0.0384 150 1 0.987 0.00927 0.969 1.000 0.0630 148 1 0.980 0.01136 0.958 1.000 0.1534 147 1 0.973 0.01309 0.948 0.999 0.1753 145 1 0.967 0.01462 0.939 0.996 0.1890 144 1 0.960 0.01599 0.929 0.992 0.2082 143 1 0.953 0.01723 0.920 0.988 0.2247 142 1 0.947 0.01837 0.911 0.983 0.2356 141 1 0.940 0.01943 0.903 0.979 0.2438 140 1 0.933 0.02041 0.894 0.974 0.2603 139 1 0.926 0.02134 0.886 0.969 0.2932 138 1 0.920 0.02222 0.877 0.964 0.3068 136 1 0.913 0.02306 0.869 0.959 0.3534 134 2 0.899 0.02465 0.852 0.949 0.3890 132 1 0.893 0.02539 0.844 0.944 0.3945 131 1 0.886 0.02609 0.836 0.938 0.4137 130 1 0.879 0.02676 0.828 0.933 0.4548 129 1 0.872 0.02741 0.820 0.928 0.4740 128 1 0.865 0.02803 0.812 0.922 0.4986 127 1 0.858 0.02863 0.804 0.916 0.5068 126 1 0.852 0.02920 0.796 0.911 0.5397 125 1 0.845 0.02975 0.789 0.905 0.5945 124 1 0.838 0.03028 0.781 0.900 0.5973 123 1 0.831 0.03079 0.773 0.894 0.6082 122 1 0.824 0.03128 0.765 0.888 0.6658 121 1 0.818 0.03176 0.758 0.882 0.7014 120 1 0.811 0.03222 0.750 0.876 0.7096 119 1 0.804 0.03266 0.742 0.871 0.7342 118 1 0.797 0.03308 0.735 0.865 0.7507 117 1 0.790 0.03350 0.727 0.859 0.7644 116 1 0.784 0.03389 0.720 0.853 0.7726 115 1 0.777 0.03428 0.712 0.847 0.7753 114 1 0.770 0.03465 0.705 0.841 0.8000 113 1 0.763 0.03500 0.697 0.835 0.8055 112 1 0.756 0.03535 0.690 0.829 0.8685 111 2 0.743 0.03600 0.675 0.817 0.8959 109 1 0.736 0.03631 0.668 0.811 0.9041 108 1 0.729 0.03661 0.661 0.804 0.9233 107 1 0.722 0.03689 0.653 0.798 0.9644 106 1 0.715 0.03717 0.646 0.792 0.9671 105 1 0.709 0.03743 0.639 0.786 0.9890 102 1 0.702 0.03771 0.632 0.780 1.0027 101 1 0.695 0.03797 0.624 0.773 1.0329 99 1 0.688 0.03823 0.617 0.767 1.0384 97 1 0.681 0.03848 0.609 0.760 1.0548 95 2 0.666 0.03898 0.594 0.747 1.0603 93 1 0.659 0.03922 0.587 0.741 1.0767 91 1 0.652 0.03945 0.579 0.734 1.0822 90 1 0.645 0.03967 0.571 0.727 1.1041 89 1 0.637 0.03988 0.564 0.721 1.1123 88 1 0.630 0.04008 0.556 0.714 1.1151 87 1 0.623 0.04027 0.549 0.707 1.1699 85 1 0.616 0.04046 0.541 0.700 1.1781 84 1 0.608 0.04063 0.534 0.693 1.2493 83 1 0.601 0.04080 0.526 0.686 1.2658 80 1 0.593 0.04097 0.518 0.679 1.3123 78 1 0.586 0.04115 0.510 0.672 1.3342 77 1 0.578 0.04131 0.503 0.665 1.3507 75 1 0.570 0.04147 0.495 0.658 1.4521 73 1 0.563 0.04164 0.487 0.650 1.4932 71 1 0.555 0.04180 0.479 0.643 1.4959 70 1 0.547 0.04194 0.470 0.636 1.5014 69 1 0.539 0.04208 0.462 0.628 1.5671 67 1 0.531 0.04221 0.454 0.620 1.5808 65 1 0.523 0.04235 0.446 0.613 1.5890 63 1 0.514 0.04248 0.438 0.605 1.6000 62 1 0.506 0.04260 0.429 0.597 1.7096 61 1 0.498 0.04270 0.421 0.589 1.7123 59 1 0.489 0.04280 0.412 0.581 1.7288 58 1 0.481 0.04288 0.404 0.573 1.8247 54 1 0.472 0.04301 0.395 0.564 1.9918 51 1 0.463 0.04315 0.385 0.556 2.0247 50 1 0.453 0.04326 0.376 0.547 2.0904 49 1 0.444 0.04336 0.367 0.538 2.1178 47 1 0.435 0.04346 0.357 0.529 2.2986 42 1 0.424 0.04364 0.347 0.519 2.3370 41 1 0.414 0.04378 0.337 0.509 2.5068 38 1 0.403 0.04397 0.326 0.499 2.5397 37 1 0.392 0.04411 0.315 0.489 2.6986 34 1 0.381 0.04429 0.303 0.478 2.7342 33 1 0.369 0.04443 0.292 0.467 2.9562 30 1 0.357 0.04462 0.279 0.456 2.9616 29 1 0.345 0.04475 0.267 0.444 2.9945 28 1 0.332 0.04481 0.255 0.433 3.5315 22 1 0.317 0.04525 0.240 0.420 3.9973 18 1 0.300 0.04604 0.222 0.405 4.5781 11 1 0.272 0.04925 0.191 0.388 5.4849 7 1 0.233 0.05549 0.146 0.372 7.0411 1 1 0.000 NaN NA NA risk=low time n.risk n.event survival std.err lower 95% CI upper 95% CI 0.0877 152 1 0.993 0.00656 0.9807 1.000 0.1699 151 1 0.987 0.00924 0.9689 1.000 0.1781 150 1 0.980 0.01128 0.9584 1.000 0.3945 147 1 0.974 0.01303 0.9484 0.999 0.5233 146 1 0.967 0.01455 0.9388 0.996 0.5315 145 2 0.954 0.01713 0.9206 0.988 0.5425 143 1 0.947 0.01826 0.9118 0.983 0.5616 142 1 0.940 0.01931 0.9031 0.979 0.5726 141 1 0.934 0.02030 0.8946 0.974 0.5890 139 1 0.927 0.02123 0.8862 0.969 0.7151 134 1 0.920 0.02217 0.8775 0.964 0.7781 132 1 0.913 0.02307 0.8689 0.959 0.8959 130 1 0.906 0.02394 0.8602 0.954 0.9151 129 1 0.899 0.02476 0.8517 0.949 0.9342 128 1 0.892 0.02555 0.8432 0.943 0.9370 127 1 0.885 0.02629 0.8348 0.938 0.9781 126 1 0.878 0.02701 0.8265 0.932 1.0521 124 1 0.871 0.02770 0.8182 0.927 1.0822 120 1 0.864 0.02840 0.8096 0.921 1.0877 119 1 0.856 0.02908 0.8011 0.915 1.1041 117 1 0.849 0.02974 0.7926 0.909 1.1342 115 1 0.842 0.03038 0.7841 0.903 1.2301 111 1 0.834 0.03104 0.7753 0.897 1.2712 110 1 0.826 0.03167 0.7666 0.891 1.5342 108 1 0.819 0.03229 0.7579 0.885 1.6603 104 1 0.811 0.03292 0.7489 0.878 1.7918 95 1 0.802 0.03366 0.7390 0.871 1.8630 92 1 0.794 0.03441 0.7290 0.864 2.2027 78 1 0.783 0.03544 0.7170 0.856 2.3616 74 1 0.773 0.03651 0.7045 0.848 2.4164 73 1 0.762 0.03751 0.6922 0.839 2.7205 64 1 0.750 0.03877 0.6781 0.830 2.9863 55 1 0.737 0.04039 0.6617 0.820 3.1041 54 1 0.723 0.04189 0.6455 0.810 3.1068 53 1 0.709 0.04326 0.6295 0.800 3.2932 48 1 0.695 0.04481 0.6122 0.788 4.1205 34 1 0.674 0.04793 0.5865 0.775 4.3589 30 1 0.652 0.05133 0.5585 0.761 4.4959 28 1 0.628 0.05452 0.5302 0.745 4.7068 26 1 0.604 0.05753 0.5014 0.728 5.9342 18 1 0.571 0.06338 0.4591 0.710 7.4438 13 1 0.527 0.07212 0.4028 0.689 7.5096 11 1 0.479 0.07990 0.3454 0.664 8.3808 10 1 0.431 0.08506 0.2928 0.635 12.8219 6 1 0.359 0.09657 0.2121 0.608 13.0411 5 1 0.287 0.10049 0.1448 0.570 13.3041 4 1 0.216 0.09773 0.0886 0.524 14.1151 3 1 0.144 0.08767 0.0435 0.475