https://communities.sas.com/t5/SAS-Programming/Drawing-two-curves-on-one-plot/m-p/358881#M84367 <P>I'm pretty sure!</P><PRE><CODE class=" language-sas"> The FREQ Procedure Cumulative Cumulative slope_95gp Frequency Percent Frequency Percent --------------------------------------------------------------- 0 1919 95.00 1919 95.00 1 101 5.00 2020 100.00 Frequency Missing = 26</CODE></PRE><P>&nbsp;</P><P>I guess your suggestion could work, because it shows reference information:</P><PRE><CODE class=" language-sas"> Reference Set of Covariates for Plotting SEX AGE bmi_1 smoke ALCOHOL LDL_C meansbp 1.475000 55.185000 25.018793 0.252500 1.895625 124.593125 128.373130 Reference Set of Covariates for Plotting nightdaysbpratio slope_95gp 0.938656 1.000000 &#12;</CODE></PRE><P>But I don't know how to ask for dwaring survival curves for both slope95_gp=0 &amp; 1.</P><P>Now, it seems only draw for slope_95gp=1, if I'm not misunderstanding.</P> Tue, 16 May 2017 01:00:56 GMT Chung-Li 2017-05-16T01:00:56Z https://communities.sas.com/t5/SAS-Programming/Drawing-two-curves-on-one-plot/m-p/358873#M84362 <P>Hi all,&nbsp;</P><P>&nbsp;</P><P>What I'm trying to do is drawing survival curve for two different group: slope_95gp=0 and slope_95 gp=1.</P><P>Also, I need to account for several confounding effects:&nbsp;sex age bmi_1 smoke alcohol ldl_c meansbp nightdaysbpratio</P><P>&nbsp;</P><P>Though I've succeded creating adjusted survival surve for slope_95=0 &amp; 1, I can't make it drawn on the same plot.</P><P><IMG src="https://communities.sas.com/t5/image/serverpage/image-id/8895i49B855C080D679F9/image-size/medium?v=1.0&amp;px=-1" border="0" alt="Plot1.png" title="Plot1.png" /><IMG src="https://communities.sas.com/t5/image/serverpage/image-id/8896i39480DCC34C901C9/image-size/medium?v=1.0&amp;px=-1" border="0" alt="Plot2.png" title="Plot2.png" /></P><P>As I checked some information, it indicates that plot statement "overlay" can achieve this, but it not working this time.</P><P>&nbsp;</P><P>Therefore, I come here to ask for help.</P><P>Thanks in advance!</P><P>&nbsp;</P><P>The following are my SAS code:</P><PRE><CODE class=" language-sas">ODS GRAPHICS ON; PROC PHREG DATA=one PLOTS(OVERLAY)=SURVIVAL; STRATA slope_95gp; MODEL followtime*allcause(0)= sex age bmi_1 smoke alcohol ldl_c meansbp nightdaysbpratio ; RUN; ODS GRAPHICS OFF;</CODE></PRE><P>&nbsp;</P> Tue, 16 May 2017 00:09:02 GMT https://communities.sas.com/t5/SAS-Programming/Drawing-two-curves-on-one-plot/m-p/358873#M84362 Chung-Li 2017-05-16T00:09:02Z https://communities.sas.com/t5/SAS-Programming/Drawing-two-curves-on-one-plot/m-p/358878#M84364 <P>Hi</P> <P>&nbsp;</P> <P>could you please replace the strata with class statement and check.</P> Tue, 16 May 2017 00:45:27 GMT https://communities.sas.com/t5/SAS-Programming/Drawing-two-curves-on-one-plot/m-p/358878#M84364 Jagadishkatam 2017-05-16T00:45:27Z https://communities.sas.com/t5/SAS-Programming/Drawing-two-curves-on-one-plot/m-p/358879#M84365 <P>Jag,</P><P>&nbsp;</P><P>I've tried, but it didn't work.</P><P>Still can't compare two survival curves in one plot...</P> Tue, 16 May 2017 00:52:06 GMT https://communities.sas.com/t5/SAS-Programming/Drawing-two-curves-on-one-plot/m-p/358879#M84365 Chung-Li 2017-05-16T00:52:06Z https://communities.sas.com/t5/SAS-Programming/Drawing-two-curves-on-one-plot/m-p/358880#M84366 are you sure if you have slope_95gp variable with both the values (0,1) Tue, 16 May 2017 00:53:25 GMT https://communities.sas.com/t5/SAS-Programming/Drawing-two-curves-on-one-plot/m-p/358880#M84366 Jagadishkatam 2017-05-16T00:53:25Z https://communities.sas.com/t5/SAS-Programming/Drawing-two-curves-on-one-plot/m-p/358881#M84367 <P>I'm pretty sure!</P><PRE><CODE class=" language-sas"> The FREQ Procedure Cumulative Cumulative slope_95gp Frequency Percent Frequency Percent --------------------------------------------------------------- 0 1919 95.00 1919 95.00 1 101 5.00 2020 100.00 Frequency Missing = 26</CODE></PRE><P>&nbsp;</P><P>I guess your suggestion could work, because it shows reference information:</P><PRE><CODE class=" language-sas"> Reference Set of Covariates for Plotting SEX AGE bmi_1 smoke ALCOHOL LDL_C meansbp 1.475000 55.185000 25.018793 0.252500 1.895625 124.593125 128.373130 Reference Set of Covariates for Plotting nightdaysbpratio slope_95gp 0.938656 1.000000 &#12;</CODE></PRE><P>But I don't know how to ask for dwaring survival curves for both slope95_gp=0 &amp; 1.</P><P>Now, it seems only draw for slope_95gp=1, if I'm not misunderstanding.</P> Tue, 16 May 2017 01:00:56 GMT https://communities.sas.com/t5/SAS-Programming/Drawing-two-curves-on-one-plot/m-p/358881#M84367 Chung-Li 2017-05-16T01:00:56Z https://communities.sas.com/t5/SAS-Programming/Drawing-two-curves-on-one-plot/m-p/358883#M84368 <P>if your variable is a stratification variable you can't separate the analysis this way - the variation calculations differ between a STRATA variable and a BY variable.&nbsp;&nbsp;</P> <P>&nbsp;</P> <P>Just to be absolutely certain, what version of SAS are you using?</P> <P>&nbsp;</P> <P><STRIKE>Also, try not specifying the OVERLAY but include a BY group or STRATA group.&nbsp;</STRIKE></P> <P><STRIKE>IIRC the overlayed plot is what I usually see.&nbsp;</STRIKE> Tried these, they did not help.&nbsp;</P> <P>&nbsp;</P> <P>Worse case scenario, You can use the BASELINE + ODS statement to create data you need and use SGPLOT.&nbsp;</P> <P>&nbsp;</P> Tue, 16 May 2017 02:11:15 GMT https://communities.sas.com/t5/SAS-Programming/Drawing-two-curves-on-one-plot/m-p/358883#M84368 Reeza 2017-05-16T02:11:15Z https://communities.sas.com/t5/SAS-Programming/Drawing-two-curves-on-one-plot/m-p/358916#M84374 <P>Reeza,&nbsp;</P><P>&nbsp;</P><P>Thank you!</P><P>The version of my SAS is 9.4.</P><P>&nbsp;</P><P>I think my case is the worst scenario, and what I'm doing is as folllows:</P><P>&nbsp;</P><PRE><CODE class=" language-sas">ODS GRAPHICS ON; PROC PHREG DATA=one PLOTS(OVERLAY)=SURVIVAL; CLASS slope_95gp; MODEL followtime*allcause(0)= sex age bmi_1 smoke alcohol ldl_c meansbp nightdaysbpratio slope_95gp; BASELINE COVARIATES=one OUT=Pred1 SURVIVAL=_ALL_/ DIRADJ GROUP=slope_95gp; PROC PRINT DATA=Pred1; RUN;</CODE></PRE><P>&nbsp;</P><P>SAS document indicates that baseline statement-- covariates allows user to adjust for confounding effect.</P><P>&nbsp;</P><P>#1 I include all the confounders in the Cox PH model (sex age bmi_1 smoke alcohol ldl_c meansbp nightdaysbpratio), and these covariates are stored in data set-- one.</P><P>&nbsp;</P><P>#2 I use another statement-- group to draw adjusted survival curve for slope_95=0 &amp; 1.</P><P>&nbsp;</P><P>#3 Write out the estimated survival information to data set-- Pred1 to see the detail information for slope_95=0 &amp; 1.</P><P>The results are as follows:</P><P><IMG src="https://communities.sas.com/t5/image/serverpage/image-id/8903i94D5B0E7813B9BBD/image-size/medium?v=1.0&amp;px=-1" border="0" alt="SurvivalPlot.png" title="SurvivalPlot.png" /></P><PRE> slope_ StdErr Lower Upper Obs 95gp followtime Survival Survival Survival Survival 1 0 0.00000 1.00000 .000000000 . . 2 0 0.06297 0.99938 .000618595 0.99817 1.00000 3 0 0.10404 0.99876 .000874218 0.99705 1.00000 4 0 0.37782 0.99814 .001070224 0.99605 1.00000 5 0 0.53388 0.99752 .001234705 0.99511 0.99995 6 0 0.61602 0.99690 .001379208 0.99420 0.99961 7 0 0.69815 0.99629 .001509172 0.99333 0.99925 8 0 0.71732 0.99566 .001629721 0.99247 0.99886 9 0 0.75017 0.99504 .001741546 0.99163 0.99846 10 0 0.78576 0.99442 .001846224 0.99081 0.99805 11 0 0.82409 0.99380 .001944763 0.99000 0.99762 12 0 0.83778 0.99318 .002037953 0.98919 0.99718 13 0 0.92266 0.99256 .002126700 0.98840 0.99674 14 0 0.96372 0.99194 .002211340 0.98762 0.99629 15 0 1.02122 0.99133 .002292432 0.98684 0.99583 16 0 1.03491 0.99071 .002370388 0.98607 0.99537 17 0 1.08145 0.99009 .002445680 0.98531 0.99490 18 0 1.11157 0.98947 .002518379 0.98455 0.99442 19 0 1.25394 0.98886 .002588719 0.98380 0.99394 20 0 1.29500 0.98824 .002656996 0.98305 0.99346 21 0 1.30869 0.98762 .002723268 0.98230 0.99298 22 0 1.33333 0.98701 .002787607 0.98156 0.99249 23 0 1.37988 0.98578 .002911673 0.98009 0.99150 24 0 1.40452 0.98516 .002971624 0.97935 0.99100 25 0 1.45654 0.98455 .003030030 0.97862 0.99050 26 0 1.46201 0.98393 .003087094 0.97790 0.99000 27 0 1.47570 0.98331 .003142815 0.97717 0.98949 28 0 1.50582 0.98270 .003197276 0.97645 0.98899 29 0 1.52225 0.98209 .003250611 0.97574 0.98848 30 0 1.54415 0.98147 .003302856 0.97502 0.98797 31 0 1.54689 0.98025 .003404322 0.97360 0.98694 32 0 1.55236 0.97902 .003502175 0.97218 0.98591 33 0 1.56605 0.97841 .003549886 0.97148 0.98539 34 0 1.57153 0.97780 .003596937 0.97077 0.98487 35 0 1.61533 0.97718 .003643078 0.97007 0.98435 36 0 1.68925 0.97657 .003688376 0.96937 0.98383 37 0 1.76591 0.97596 .003733173 0.96867 0.98330 38 0 1.76865 0.97535 .003777357 0.96797 0.98278 39 0 1.78782 0.97474 .003820773 0.96728 0.98225 40 0 2.06434 0.97412 .003863532 0.96658 0.98173 41 0 2.09993 0.97351 .003905682 0.96589 0.98120 42 0 2.13279 0.97290 .003947260 0.96519 0.98067 43 0 2.25873 0.97229 .003988179 0.96450 0.98014 44 0 2.26146 0.97168 .004028428 0.96382 0.97961 45 0 2.40110 0.97107 .004068308 0.96313 0.97907 46 0 2.44764 0.97046 .004107601 0.96244 0.97854 47 0 2.52156 0.96985 .004146495 0.96175 0.97801 48 0 2.54894 0.96924 .004184802 0.96107 0.97747 49 0 2.59548 0.96802 .004259872 0.95970 0.97640 50 0 2.62012 0.96741 .004296686 0.95902 0.97587 51 0 2.63381 0.96680 .004333292 0.95834 0.97533 52 0 2.68857 0.96558 .004405210 0.95698 0.97425 53 0 2.81999 0.96496 .004440784 0.95630 0.97371 54 0 2.83641 0.96435 .004475938 0.95562 0.97316 55 0 2.84189 0.96374 .004510656 0.95494 0.97262 56 0 2.92950 0.96313 .004544965 0.95426 0.97208 57 0 2.97604 0.96252 .004579129 0.95358 0.97153 58 0 2.97878 0.96190 .004612963 0.95290 0.97099 59 0 3.06092 0.96129 .004646345 0.95223 0.97044 60 0 3.09925 0.96068 .004679320 0.95155 0.96989 61 0 3.10198 0.96007 .004711949 0.95088 0.96935 62 0 3.19781 0.95946 .004744231 0.95020 0.96880 63 0 3.34292 0.95884 .004776540 0.94953 0.96825 64 0 3.35387 0.95823 .004808521 0.94885 0.96770 65 0 3.36482 0.95762 .004840184 0.94818 0.96715 66 0 3.43600 0.95700 .004871519 0.94750 0.96660 67 0 3.47981 0.95639 .004902538 0.94683 0.96605 68 0 3.54552 0.95578 .004933260 0.94616 0.96549 69 0 3.55373 0.95516 .004963647 0.94549 0.96494 70 0 3.57016 0.95455 .004993764 0.94481 0.96439 &#12; The SAS System 2017年 5月16日星期二 上午11時25分28秒 102 slope_ StdErr Lower Upper Obs 95gp followtime Survival Survival Survival Survival 71 0 3.61123 0.95394 .005023561 0.94414 0.96384 72 0 3.62218 0.95333 .005053025 0.94348 0.96328 73 0 3.64408 0.95272 .005082154 0.94281 0.96273 74 0 3.64956 0.95210 .005112049 0.94213 0.96217 75 0 3.66598 0.95148 .005141577 0.94145 0.96161 76 0 3.70705 0.95086 .005170826 0.94078 0.96105 77 0 3.73169 0.95024 .005199743 0.94010 0.96049 78 0 3.79466 0.94962 .005228420 0.93943 0.95993 79 0 3.81383 0.94900 .005256825 0.93876 0.95936 80 0 3.92608 0.94839 .005284991 0.93808 0.95880 81 0 3.93977 0.94777 .005312846 0.93741 0.95824 82 0 3.95619 0.94715 .005340538 0.93674 0.95768 83 0 3.97262 0.94653 .005368012 0.93607 0.95711 84 0 4.07666 0.94592 .005395206 0.93540 0.95655 85 0 4.15332 0.94530 .005422144 0.93473 0.95599 86 0 4.17522 0.94468 .005448822 0.93407 0.95542 87 0 4.21629 0.94407 .005475212 0.93340 0.95486 88 0 4.26831 0.94345 .005501641 0.93273 0.95430 89 0 4.29021 0.94283 .005527855 0.93206 0.95373 90 0 4.38877 0.94222 .005553847 0.93139 0.95317 91 0 4.39699 0.94160 .005579576 0.93073 0.95260 92 0 4.39973 0.94098 .005605092 0.93006 0.95203 93 0 4.44353 0.94037 .005630404 0.92940 0.95147 94 0 4.46270 0.93975 .005655436 0.92873 0.95090 95 0 4.50103 0.93914 .005680223 0.92807 0.95034 96 0 4.53114 0.93852 .005704826 0.92741 0.94977 97 0 4.58864 0.93791 .005729187 0.92675 0.94921 98 0 4.59138 0.93730 .005753371 0.92609 0.94864 99 0 4.60233 0.93668 .005777359 0.92543 0.94807 100 0 4.72005 0.93607 .005801092 0.92477 0.94751 101 0 4.77755 0.93546 .005824636 0.92411 0.94694 102 0 4.80767 0.93485 .005847970 0.92345 0.94638 103 0 4.86790 0.93424 .005871064 0.92280 0.94581 104 0 4.89254 0.93362 .005894001 0.92214 0.94525 105 0 4.90075 0.93301 .005916757 0.92149 0.94468 106 0 4.96646 0.93240 .005939385 0.92083 0.94412 107 0 4.98836 0.93179 .005961826 0.92018 0.94355 108 0 5.01300 0.93118 .005984447 0.91952 0.94298 109 0 5.02669 0.92995 .006029148 0.91821 0.94185 110 0 5.22108 0.92934 .006051253 0.91755 0.94128 111 0 5.23477 0.92873 .006073176 0.91690 0.94071 112 0 5.28405 0.92811 .006094952 0.91625 0.94014 113 0 5.29227 0.92750 .006116749 0.91559 0.93957 114 0 5.31143 0.92688 .006138344 0.91493 0.93899 115 0 5.32786 0.92627 .006159739 0.91428 0.93842 116 0 5.33881 0.92565 .006181272 0.91362 0.93785 117 0 5.43463 0.92504 .006202675 0.91296 0.93727 118 0 5.47844 0.92442 .006223887 0.91230 0.93670 119 0 5.52498 0.92380 .006244909 0.91164 0.93612 120 0 5.53867 0.92319 .006265806 0.91099 0.93555 121 0 5.57426 0.92257 .006286554 0.91033 0.93498 122 0 5.57700 0.92196 .006307126 0.90968 0.93440 123 0 5.58795 0.92134 .006327523 0.90902 0.93383 124 0 5.59343 0.92073 .006347873 0.90837 0.93325 125 0 5.59617 0.92011 .006368028 0.90772 0.93268 126 0 5.60712 0.91950 .006388107 0.90706 0.93210 127 0 5.64545 0.91888 .006408184 0.90641 0.93153 128 0 5.67556 0.91826 .006428172 0.90575 0.93095 129 0 5.68104 0.91765 .006448031 0.90510 0.93037 130 0 5.71663 0.91703 .006467747 0.90444 0.92979 131 0 5.73854 0.91641 .006487271 0.90379 0.92922 132 0 5.82615 0.91580 .006506715 0.90313 0.92864 133 0 5.85352 0.91518 .006525989 0.90248 0.92806 134 0 5.88912 0.91457 .006545195 0.90183 0.92748 135 0 5.91376 0.91395 .006564261 0.90117 0.92691 136 0 5.93292 0.91333 .006583279 0.90052 0.92633 137 0 5.93840 0.91272 .006602156 0.89987 0.92575 138 0 6.00137 0.91210 .006620934 0.89922 0.92517 139 0 6.06982 0.91149 .006639606 0.89856 0.92459 140 0 6.09172 0.91087 .006658167 0.89791 0.92401 &#12; The SAS System 2017年 5月16日星期二 上午11時25分28秒 103 slope_ StdErr Lower Upper Obs 95gp followtime Survival Survival Survival Survival 141 0 6.15195 0.91025 .006676585 0.89726 0.92343 142 0 6.23409 0.90964 .006694928 0.89661 0.92285 143 0 6.28611 0.90902 .006713216 0.89596 0.92227 144 0 6.31896 0.90779 .006749316 0.89466 0.92112 145 0 6.37919 0.90717 .006767210 0.89401 0.92054 146 0 6.41752 0.90656 .006785012 0.89336 0.91996 147 0 6.42026 0.90594 .006802704 0.89271 0.91938 148 0 6.48871 0.90533 .006820255 0.89206 0.91880 149 0 6.56537 0.90471 .006837742 0.89141 0.91822 150 0 6.56810 0.90410 .006855163 0.89076 0.91764 151 0 6.59274 0.90348 .006872483 0.89011 0.91705 152 0 6.61191 0.90287 .006889713 0.88947 0.91647 153 0 6.62834 0.90225 .006906905 0.88882 0.91589 154 0 6.64203 0.90164 .006923964 0.88817 0.91531 155 0 6.64750 0.90102 .006941015 0.88752 0.91473 156 0 6.67214 0.90040 .006957944 0.88687 0.91415 157 0 6.69405 0.89979 .006974781 0.88622 0.91356 158 0 6.70500 0.89917 .006991487 0.88557 0.91298 159 0 6.72142 0.89856 .007008170 0.88493 0.91240 160 0 6.76523 0.89794 .007024737 0.88428 0.91181 161 0 6.81999 0.89732 .007041239 0.88363 0.91123 162 0 6.82272 0.89671 .007057652 0.88298 0.91065 163 0 6.83641 0.89609 .007073940 0.88233 0.91006 164 0 6.85558 0.89548 .007090081 0.88169 0.90948 165 0 6.89391 0.89486 .007106223 0.88104 0.90890 166 0 6.95962 0.89425 .007122234 0.88040 0.90832 167 0 7.03080 0.89363 .007138131 0.87975 0.90773 168 0 7.06913 0.89302 .007153897 0.87911 0.90715 169 0 7.08830 0.89179 .007185011 0.87782 0.90599 170 0 7.12936 0.89118 .007200499 0.87718 0.90541 171 0 7.15674 0.89057 .007215900 0.87654 0.90482 172 0 7.16496 0.88995 .007231295 0.87589 0.90424 173 0 7.17591 0.88934 .007246556 0.87525 0.90366 174 0 7.21424 0.88873 .007261695 0.87461 0.90307 175 0 7.22793 0.88811 .007276769 0.87396 0.90249 176 0 7.24162 0.88750 .007291708 0.87332 0.90191 177 0 7.25530 0.88689 .007306649 0.87268 0.90132 178 0 7.27721 0.88628 .007321456 0.87204 0.90074 179 0 7.29637 0.88566 .007336273 0.87140 0.90016 180 0 7.30732 0.88505 .007350985 0.87076 0.89957 181 0 7.31828 0.88444 .007365644 0.87012 0.89899 182 0 7.51266 0.88382 .007380272 0.86947 0.89841 183 0 7.59480 0.88321 .007394766 0.86883 0.89782 184 0 7.64956 0.88260 .007409156 0.86819 0.89724 185 0 7.70157 0.88198 .007423557 0.86755 0.89665 186 0 7.75633 0.88137 .007437904 0.86691 0.89607 187 0 7.77276 0.88076 .007452156 0.86627 0.89548 188 0 7.79740 0.88014 .007466292 0.86563 0.89490 189 0 7.80014 0.87953 .007480298 0.86499 0.89432 190 0 7.81656 0.87892 .007494214 0.86435 0.89373 191 0 7.83573 0.87831 .007508030 0.86372 0.89315 192 0 7.84668 0.87770 .007521746 0.86308 0.89257 193 0 7.87953 0.87709 .007535355 0.86245 0.89199 194 0 7.88227 0.87648 .007548871 0.86181 0.89140 195 0 7.96988 0.87588 .007562268 0.86118 0.89082 196 0 8.02464 0.87527 .007575596 0.86055 0.89024 197 0 8.05202 0.87466 .007588867 0.85991 0.88966 198 0 8.13689 0.87405 .007602065 0.85928 0.88908 199 0 8.15606 0.87344 .007615178 0.85865 0.88850 200 0 8.19713 0.87284 .007628195 0.85801 0.88792 201 0 8.33949 0.87223 .007641170 0.85738 0.88734 202 0 8.38604 0.87162 .007654050 0.85675 0.88676 203 0 8.39151 0.87102 .007666896 0.85612 0.88617 204 0 8.40520 0.87041 .007679684 0.85549 0.88559 205 0 8.44353 0.86980 .007692427 0.85485 0.88501 206 0 8.50376 0.86919 .007705064 0.85422 0.88443 207 0 8.52019 0.86858 .007717633 0.85359 0.88384 208 0 8.52293 0.86798 .007730209 0.85296 0.88326 209 0 8.52567 0.86737 .007742675 0.85232 0.88268 210 0 8.57769 0.86676 .007755091 0.85169 0.88209 &#12; The SAS System 2017年 5月16日星期二 上午11時25分28秒 104 slope_ StdErr Lower Upper Obs 95gp followtime Survival Survival Survival Survival 211 0 8.5914 0.86615 .007767433 0.85106 0.88151 212 0 8.5969 0.86554 .007779699 0.85043 0.88093 213 0 8.6133 0.86494 .007791888 0.84980 0.88034 214 0 8.6762 0.86372 .007816027 0.84854 0.87918 215 0 8.6982 0.86312 .007828123 0.84791 0.87860 216 0 8.7748 0.86251 .007840162 0.84728 0.87801 217 0 8.8268 0.86190 .007852122 0.84665 0.87743 218 0 8.9446 0.86129 .007864032 0.84602 0.87684 219 0 8.9802 0.86068 .007876020 0.84538 0.87626 220 0 8.9884 0.86007 .007887946 0.84475 0.87567 221 0 9.0130 0.85946 .007899805 0.84412 0.87509 222 0 9.0897 0.85885 .007911654 0.84348 0.87450 223 0 9.1088 0.85824 .007923436 0.84285 0.87391 224 0 9.1389 0.85763 .007935210 0.84222 0.87332 225 0 9.1472 0.85702 .007946956 0.84158 0.87274 226 0 9.1608 0.85641 .007958641 0.84095 0.87215 227 0 9.2183 0.85580 .007970240 0.84032 0.87156 228 0 9.2457 0.85519 .007981805 0.83968 0.87097 229 0 9.2895 0.85458 .007993303 0.83905 0.87039 230 0 9.3032 0.85396 .008004744 0.83842 0.86980 231 0 9.3114 0.85336 .008016095 0.83779 0.86921 232 0 9.4045 0.85275 .008027397 0.83716 0.86863 233 0 9.4127 0.85214 .008038659 0.83653 0.86804 234 0 9.5359 0.85153 .008049845 0.83589 0.86745 235 0 9.5578 0.85092 .008060988 0.83526 0.86686 236 0 9.5743 0.85031 .008072070 0.83463 0.86628 237 0 9.5880 0.84969 .008083105 0.83400 0.86569 238 0 9.6454 0.84908 .008094079 0.83337 0.86510 239 0 9.6591 0.84847 .008104959 0.83274 0.86451 240 0 9.7221 0.84786 .008115824 0.83210 0.86392 241 0 9.7604 0.84725 .008126634 0.83147 0.86333 242 0 9.9384 0.84664 .008137365 0.83084 0.86274 243 0 9.9411 0.84603 .008148004 0.83021 0.86215 244 0 9.9466 0.84542 .008158598 0.82958 0.86157 245 0 9.9713 0.84481 .008169138 0.82895 0.86098 246 0 10.0698 0.84421 .008179638 0.82833 0.86039 247 0 10.0890 0.84360 .008190136 0.82770 0.85980 248 0 10.1656 0.84299 .008200640 0.82706 0.85921 249 0 10.1711 0.84237 .008211138 0.82643 0.85862 250 0 10.1793 0.84176 .008221694 0.82580 0.85803 251 0 10.2012 0.84114 .008232293 0.82516 0.85743 252 0 10.2615 0.84053 .008242811 0.82453 0.85684 253 0 10.2779 0.83991 .008253331 0.82389 0.85625 254 0 10.3792 0.83930 .008263810 0.82326 0.85565 255 0 10.3984 0.83868 .008274264 0.82262 0.85506 256 0 10.5024 0.83806 .008284690 0.82198 0.85446 257 0 10.5161 0.83745 .008295028 0.82135 0.85386 258 0 10.5216 0.83683 .008305346 0.82071 0.85327 259 0 10.5352 0.83622 .008315584 0.82008 0.85267 260 0 10.5572 0.83560 .008325834 0.81944 0.85208 261 0 10.5654 0.83498 .008336004 0.81880 0.85148 262 0 10.5736 0.83375 .008356092 0.81753 0.85029 263 0 10.5791 0.83314 .008366037 0.81690 0.84970 264 0 10.5873 0.83252 .008375966 0.81626 0.84910 265 0 10.6858 0.83190 .008385812 0.81563 0.84850 266 0 10.7543 0.83129 .008395576 0.81500 0.84791 267 0 10.7871 0.83006 .008414999 0.81373 0.84672 268 0 10.7926 0.82945 .008424666 0.81310 0.84612 269 0 10.8282 0.82883 .008434303 0.81246 0.84553 270 0 10.8857 0.82822 .008443912 0.81183 0.84493 271 0 10.8966 0.82760 .008453504 0.81120 0.84433 272 0 10.9158 0.82698 .008463027 0.81056 0.84374 273 0 10.9870 0.82637 .008472460 0.80993 0.84314 274 0 11.1348 0.82575 .008481832 0.80929 0.84254 275 0 11.2060 0.82514 .008491142 0.80866 0.84195 276 0 11.2088 0.82452 .008500363 0.80803 0.84135 277 0 11.3210 0.82391 .008509574 0.80740 0.84076 278 0 11.3320 0.82329 .008518793 0.80677 0.84016 279 0 11.3429 0.82268 .008527937 0.80613 0.83956 280 0 11.4031 0.82207 .008537007 0.80550 0.83897 &#12; The SAS System 2017年 5月16日星期二 上午11時25分28秒 105 slope_ StdErr Lower Upper Obs 95gp followtime Survival Survival Survival Survival 281 0 11.4059 0.82145 .008545990 0.80487 0.83837 282 0 11.4114 0.82084 .008554893 0.80424 0.83778 283 0 11.4223 0.82023 .008563733 0.80362 0.83719 284 0 11.4360 0.81962 .008572562 0.80299 0.83659 285 0 11.4552 0.81901 .008581374 0.80236 0.83600 286 0 11.5209 0.81839 .008590219 0.80173 0.83540 287 0 11.6386 0.81778 .008599061 0.80110 0.83481 288 0 11.6578 0.81716 .008607823 0.80047 0.83421 289 0 11.7153 0.81655 .008616626 0.79983 0.83361 290 0 11.7591 0.81593 .008625415 0.79920 0.83302 291 0 11.7782 0.81532 .008634192 0.79857 0.83242 292 0 11.8549 0.81470 .008642924 0.79794 0.83182 293 0 11.8658 0.81408 .008651660 0.79730 0.83122 294 0 11.9069 0.81347 .008660354 0.79667 0.83062 295 0 11.9316 0.81285 .008669022 0.79604 0.83002 296 0 11.9945 0.81224 .008677641 0.79540 0.82942 297 0 12.0000 0.81162 .008686259 0.79477 0.82882 298 0 12.0301 0.81100 .008694801 0.79414 0.82822 299 0 12.0329 0.81039 .008703303 0.79351 0.82762 300 0 12.0630 0.80977 .008711753 0.79287 0.82703 301 0 12.0657 0.80915 .008720190 0.79224 0.82643 302 0 12.0794 0.80854 .008728548 0.79161 0.82583 303 0 12.1040 0.80792 .008736883 0.79098 0.82523 304 0 12.1150 0.80731 .008745140 0.79035 0.82463 305 0 12.1259 0.80669 .008753317 0.78972 0.82403 306 0 12.1506 0.80608 .008761513 0.78909 0.82343 307 0 12.1862 0.80546 .008769677 0.78846 0.82284 308 0 12.1889 0.80485 .008777814 0.78783 0.82224 309 0 12.2026 0.80362 .008793882 0.78657 0.82104 310 0 12.2053 0.80301 .008801818 0.78594 0.82045 311 0 12.2272 0.80240 .008809728 0.78531 0.81985 312 0 12.2546 0.80178 .008817625 0.78468 0.81925 313 0 12.2601 0.80117 .008825513 0.78406 0.81865 314 0 12.2683 0.80055 .008833386 0.78343 0.81806 315 0 12.2875 0.79994 .008841193 0.78280 0.81746 316 0 12.3149 0.79933 .008848946 0.78217 0.81686 317 0 12.3203 0.79872 .008856689 0.78154 0.81626 318 0 12.3696 0.79810 .008864433 0.78092 0.81567 319 0 12.3997 0.79749 .008872105 0.78029 0.81507 320 0 12.4079 0.79688 .008879723 0.77966 0.81447 321 0 12.4189 0.79626 .008887275 0.77903 0.81387 322 0 12.5339 0.79565 .008894751 0.77841 0.81328 323 0 12.5503 0.79504 .008902151 0.77778 0.81268 324 0 12.5558 0.79443 .008909514 0.77716 0.81209 325 0 12.5667 0.79382 .008916913 0.77653 0.81149 326 0 12.5859 0.79321 .008924252 0.77591 0.81089 327 0 12.6188 0.79260 .008931532 0.77528 0.81030 328 0 12.6324 0.79199 .008938777 0.77466 0.80970 329 0 12.6817 0.79137 .008946000 0.77403 0.80910 330 0 12.7091 0.79076 .008953200 0.77341 0.80851 331 0 12.7173 0.79015 .008960342 0.77279 0.80791 332 0 12.7337 0.78954 .008967472 0.77216 0.80732 333 0 12.8597 0.78893 .008974573 0.77154 0.80672 334 0 12.9172 0.78833 .008981606 0.77092 0.80613 335 0 12.9884 0.78772 .008988595 0.77029 0.80553 336 0 13.0075 0.78711 .008995580 0.76967 0.80494 337 0 13.0459 0.78650 .009002540 0.76905 0.80434 338 0 13.0623 0.78589 .009009512 0.76843 0.80375 339 0 13.0650 0.78528 .009016424 0.76780 0.80315 340 0 13.1116 0.78467 .009023359 0.76718 0.80255 341 0 13.1225 0.78406 .009030331 0.76655 0.80196 342 0 13.1280 0.78344 .009037270 0.76593 0.80136 343 0 13.1499 0.78283 .009044163 0.76531 0.80076 344 0 13.1608 0.78222 .009051022 0.76468 0.80016 345 0 13.1910 0.78161 .009057859 0.76406 0.79957 346 0 13.1992 0.78100 .009064642 0.76343 0.79897 347 0 13.2156 0.78039 .009071412 0.76281 0.79837 348 0 13.2348 0.77978 .009078126 0.76219 0.79778 349 0 13.2621 0.77917 .009084796 0.76157 0.79718 350 0 13.2950 0.77856 .009091461 0.76094 0.79659 &#12; The SAS System 2017年 5月16日星期二 上午11時25分28秒 106 slope_ StdErr Lower Upper Obs 95gp followtime Survival Survival Survival Survival 351 0 13.4073 0.77795 .009098058 0.76032 0.79599 352 0 13.4127 0.77734 .009104614 0.75970 0.79539 353 0 13.4511 0.77673 .009111150 0.75908 0.79480 354 0 13.4894 0.77612 .009117640 0.75846 0.79420 355 0 13.5250 0.77552 .009124083 0.75784 0.79361 356 0 13.5277 0.77491 .009130466 0.75722 0.79301 357 0 13.5414 0.77430 .009136888 0.75660 0.79242 358 0 13.5797 0.77369 .009143284 0.75598 0.79182 359 0 13.6482 0.77308 .009149662 0.75536 0.79122 360 0 13.6591 0.77247 .009156002 0.75474 0.79063 361 0 13.6865 0.77187 .009162304 0.75412 0.79003 362 0 13.6947 0.77126 .009168575 0.75350 0.78944 363 0 13.7413 0.77005 .009181018 0.75226 0.78825 364 0 13.7741 0.76944 .009187219 0.75164 0.78766 365 0 13.7878 0.76883 .009193373 0.75102 0.78706 366 0 13.8070 0.76823 .009199499 0.75041 0.78647 367 0 13.8563 0.76702 .009211616 0.74917 0.78529 368 0 13.8700 0.76641 .009217687 0.74856 0.78469 369 0 13.9192 0.76580 .009223696 0.74794 0.78410 370 0 13.9493 0.76519 .009229771 0.74732 0.78350 371 0 13.9713 0.76458 .009235893 0.74669 0.78290 372 0 13.9904 0.76397 .009242012 0.74607 0.78230 373 0 14.0068 0.76336 .009248075 0.74544 0.78170 374 0 14.0479 0.76274 .009254079 0.74482 0.78110 375 0 14.0808 0.76213 .009260039 0.74420 0.78050 376 0 14.0945 0.76152 .009265982 0.74358 0.77990 377 0 14.1136 0.76091 .009271956 0.74295 0.77930 378 0 14.1985 0.76030 .009277895 0.74233 0.77870 379 0 14.2067 0.75968 .009283799 0.74170 0.77810 380 0 14.2478 0.75907 .009289649 0.74108 0.77750 381 0 14.2505 0.75846 .009295463 0.74046 0.77690 382 0 14.3162 0.75785 .009301245 0.73984 0.77630 383 0 14.3272 0.75724 .009306979 0.73922 0.77570 384 0 14.3710 0.75663 .009312651 0.73860 0.77511 385 0 14.4120 0.75602 .009318313 0.73797 0.77451 386 0 14.4230 0.75541 .009323954 0.73735 0.77391 387 0 14.4339 0.75480 .009329569 0.73673 0.77331 388 0 14.4367 0.75419 .009335166 0.73611 0.77271 389 0 14.4668 0.75357 .009340742 0.73549 0.77211 390 0 14.4695 0.75296 .009346287 0.73487 0.77151 391 0 14.5243 0.75235 .009351770 0.73424 0.77091 392 0 14.5763 0.75174 .009357237 0.73362 0.77031 393 0 14.5955 0.75113 .009362656 0.73300 0.76971 394 0 14.6229 0.75052 .009368049 0.73238 0.76911 395 0 14.6667 0.74991 .009373404 0.73176 0.76851 396 0 14.7570 0.74930 .009378701 0.73114 0.76791 397 0 14.7625 0.74869 .009383976 0.73052 0.76731 398 0 14.8118 0.74808 .009389259 0.72990 0.76671 399 0 14.8145 0.74747 .009394484 0.72928 0.76611 400 0 14.8556 0.74686 .009399693 0.72866 0.76551 401 0 14.8611 0.74625 .009404868 0.72804 0.76492 402 0 14.8665 0.74564 .009410016 0.72743 0.76432 403 0 14.8966 0.74504 .009415106 0.72681 0.76372 404 0 14.8994 0.74443 .009420253 0.72619 0.76312 405 0 14.9131 0.74321 .009430440 0.72495 0.76192 406 0 14.9158 0.74260 .009435458 0.72433 0.76132 407 0 14.9870 0.74198 .009440440 0.72371 0.76072 408 0 15.0034 0.74137 .009445443 0.72309 0.76012 409 0 15.0089 0.74076 .009450430 0.72247 0.75952 410 0 15.0171 0.74015 .009455372 0.72185 0.75892 411 0 15.0363 0.73954 .009460286 0.72123 0.75832 412 0 15.0500 0.73893 .009465238 0.72061 0.75772 413 0 15.1923 0.73832 .009470204 0.71999 0.75711 414 0 15.1951 0.73770 .009475157 0.71936 0.75651 415 0 15.2005 0.73709 .009480098 0.71874 0.75590 416 0 15.2663 0.73586 .009489868 0.71750 0.75470 417 0 15.3320 0.73525 .009494738 0.71687 0.75410 418 0 15.3648 0.73464 .009499588 0.71625 0.75349 419 0 15.4251 0.73402 .009504438 0.71563 0.75289 420 0 15.4497 0.73280 .009513979 0.71439 0.75169 &#12; The SAS System 2017年 5月16日星期二 上午11時25分28秒 107 slope_ StdErr Lower Upper Obs 95gp followtime Survival Survival Survival Survival 421 0 15.4579 0.73219 .009518754 0.71377 0.75108 422 0 15.4962 0.73157 .009523527 0.71314 0.75048 423 0 15.5072 0.73096 .009528308 0.71252 0.74987 424 0 15.5565 0.73034 .009533164 0.71189 0.74927 425 0 15.5756 0.72972 .009538012 0.71126 0.74866 426 0 15.5784 0.72910 .009542869 0.71064 0.74805 427 0 15.5838 0.72787 .009552430 0.70938 0.74683 428 0 15.6413 0.72725 .009557187 0.70875 0.74622 429 0 15.6988 0.72663 .009561941 0.70813 0.74561 430 0 15.7563 0.72601 .009566690 0.70750 0.74500 431 0 15.8960 0.72539 .009571409 0.70687 0.74440 432 0 15.8987 0.72477 .009576123 0.70625 0.74379 433 0 15.9206 0.72415 .009580859 0.70562 0.74318 434 0 15.9233 0.72353 .009585571 0.70499 0.74257 435 0 15.9316 0.72291 .009590259 0.70436 0.74196 436 0 15.9398 0.72230 .009594908 0.70373 0.74135 437 0 15.9452 0.72168 .009599519 0.70311 0.74074 438 0 15.9863 0.72106 .009604126 0.70248 0.74013 439 0 16.0246 0.72044 .009608688 0.70185 0.73952 440 0 16.0520 0.71983 .009613234 0.70123 0.73892 441 0 16.0684 0.71921 .009617740 0.70060 0.73831 442 0 16.0767 0.71859 .009622230 0.69998 0.73770 443 0 16.1040 0.71798 .009626672 0.69936 0.73710 444 0 16.1369 0.71736 .009631111 0.69873 0.73649 445 0 16.1424 0.71675 .009635543 0.69811 0.73588 446 0 16.1506 0.71613 .009639939 0.69749 0.73528 447 0 16.1971 0.71552 .009644287 0.69686 0.73467 448 0 16.2163 0.71429 .009652849 0.69562 0.73347 449 0 16.2519 0.71368 .009657109 0.69500 0.73286 450 0 16.2765 0.71307 .009661354 0.69438 0.73226 451 0 16.2902 0.71246 .009665560 0.69376 0.73166 452 0 16.3203 0.71124 .009673874 0.69253 0.73045 453 0 16.3313 0.71063 .009678058 0.69191 0.72985 454 0 16.3587 0.71002 .009682223 0.69129 0.72925 455 0 16.3669 0.70940 .009686377 0.69067 0.72865 456 0 16.3943 0.70879 .009690546 0.69005 0.72804 457 0 16.4271 0.70818 .009694716 0.68943 0.72744 458 0 16.4408 0.70757 .009698874 0.68881 0.72684 459 0 16.4572 0.70696 .009702986 0.68819 0.72623 460 0 16.4983 0.70635 .009707055 0.68758 0.72563 461 0 16.5229 0.70574 .009711086 0.68696 0.72503 462 0 16.5366 0.70513 .009715092 0.68634 0.72443 463 0 16.5394 0.70452 .009719067 0.68573 0.72383 464 0 16.5804 0.70391 .009723035 0.68511 0.72323 465 0 16.6762 0.70331 .009726954 0.68450 0.72263 466 0 16.7009 0.70209 .009734764 0.68327 0.72143 467 0 16.7556 0.70148 .009738670 0.68265 0.72083 468 0 16.7666 0.70087 .009742574 0.68204 0.72023 469 0 16.7830 0.70027 .009746450 0.68142 0.71963 470 0 16.8569 0.69965 .009750353 0.68080 0.71903 471 0 16.9062 0.69904 .009754207 0.68019 0.71843 472 0 17.0595 0.69843 .009758070 0.67957 0.71782 473 0 17.0842 0.69782 .009761912 0.67895 0.71722 474 0 17.0979 0.69721 .009765716 0.67833 0.71662 475 0 17.1006 0.69660 .009769497 0.67772 0.71602 476 0 17.1143 0.69600 .009773261 0.67710 0.71542 477 0 17.1170 0.69539 .009776997 0.67649 0.71482 478 0 17.6728 0.69478 .009780715 0.67587 0.71422 479 0 17.9959 0.69417 .009784439 0.67526 0.71362 480 0 18.0123 0.69356 .009788174 0.67464 0.71301 481 0 18.1081 0.69295 .009791871 0.67403 0.71241 482 0 18.1547 0.69234 .009795596 0.67341 0.71181 483 0 18.1985 0.69173 .009799321 0.67279 0.71121 484 0 18.3162 0.69112 .009803067 0.67217 0.71061 485 0 18.3354 0.69051 .009806788 0.67156 0.71000 486 0 18.3819 0.68990 .009810477 0.67094 0.70940 487 0 18.4066 0.68929 .009814157 0.67032 0.70880 488 0 18.4969 0.68868 .009817813 0.66971 0.70820 489 0 18.5133 0.68807 .009821474 0.66909 0.70759 490 0 18.5216 0.68746 .009825102 0.66847 0.70699 &#12; The SAS System 2017年 5月16日星期二 上午11時25分28秒 108 slope_ StdErr Lower Upper Obs 95gp followtime Survival Survival Survival Survival 491 0 18.5791 0.68685 0.00983 0.66786 0.70639 492 0 18.7050 0.68624 0.00983 0.66724 0.70579 493 0 18.7762 0.68564 0.00984 0.66663 0.70519 494 0 18.8200 0.68503 0.00984 0.66601 0.70459 495 0 18.8227 0.68382 0.00985 0.66479 0.70339 496 0 18.8255 0.68321 0.00985 0.66417 0.70279 497 0 18.8309 0.68260 0.00985 0.66356 0.70219 498 0 18.8611 0.68199 0.00986 0.66294 0.70159 499 0 18.9185 0.68138 0.00986 0.66233 0.70099 500 0 18.9350 0.68078 0.00986 0.66172 0.70039 501 0 19.0144 0.68017 0.00987 0.66111 0.69979 502 0 19.0418 0.67957 0.00987 0.66049 0.69919 503 0 19.0883 0.67896 0.00987 0.65988 0.69860 504 0 19.1157 0.67836 0.00988 0.65928 0.69800 505 0 19.1266 0.67776 0.00988 0.65867 0.69740 506 0 19.1622 0.67715 0.00988 0.65805 0.69680 507 0 19.1951 0.67655 0.00989 0.65744 0.69621 508 0 19.2088 0.67594 0.00989 0.65683 0.69561 509 0 19.2115 0.67534 0.00989 0.65622 0.69501 510 0 19.2225 0.67474 0.00990 0.65561 0.69442 511 0 19.2361 0.67413 0.00990 0.65501 0.69382 512 0 19.2498 0.67353 0.00990 0.65439 0.69322 513 0 19.3347 0.67292 0.00991 0.65378 0.69262 514 0 19.3402 0.67231 0.00991 0.65317 0.69202 515 0 19.3484 0.67171 0.00991 0.65256 0.69142 516 0 19.3867 0.67110 0.00992 0.65194 0.69082 517 0 19.4579 0.67049 0.00992 0.65133 0.69022 518 0 19.4798 0.66988 0.00992 0.65071 0.68962 519 0 19.5510 0.66927 0.00993 0.65009 0.68901 520 0 19.5565 0.66865 0.00993 0.64947 0.68840 521 0 19.7125 0.66792 0.00994 0.64872 0.68769 522 0 19.7426 0.66716 0.00995 0.64794 0.68695 523 0 19.7509 0.66641 0.00996 0.64717 0.68622 524 0 19.7645 0.66565 0.00997 0.64640 0.68548 525 0 19.8193 0.66384 0.01000 0.64452 0.68374 526 0 19.8220 0.66293 0.01002 0.64358 0.68287 527 0 19.8275 0.66199 0.01004 0.64260 0.68197 528 0 19.8713 0.66087 0.01007 0.64142 0.68091 529 0 19.9945 0.65949 0.01013 0.63993 0.67965 530 0 20.0027 0.65811 0.01019 0.63844 0.67838 531 0 20.0137 0.65672 0.01024 0.63694 0.67710 532 0 20.0821 0.65530 0.01030 0.63542 0.67581 533 0 20.1040 0.65384 0.01036 0.63384 0.67447 534 0 20.1561 0.65228 0.01044 0.63215 0.67306 535 0 20.2491 0.65053 0.01053 0.63021 0.67150 536 0 20.3066 0.64843 0.01068 0.62784 0.66969 537 0 20.3285 0.64621 0.01084 0.62532 0.66780 538 0 20.4189 0.64289 0.01122 0.62127 0.66527 539 0 57.0541 0.44153 0.13522 0.24225 0.80473 540 1 0.0000 1.00000 0.00000 . . 541 1 0.0630 0.99897 0.00104 0.99692 1.00000 542 1 0.1040 0.99793 0.00149 0.99501 1.00000 543 1 0.3778 0.99690 0.00185 0.99329 1.00000 544 1 0.5339 0.99587 0.00215 0.99166 1.00000 545 1 0.6160 0.99485 0.00243 0.99009 0.99962 546 1 0.6982 0.99382 0.00269 0.98857 0.99910 547 1 0.7173 0.99279 0.00293 0.98706 0.99855 548 1 0.7502 0.99176 0.00316 0.98558 0.99798 549 1 0.7858 0.99074 0.00338 0.98412 0.99739 550 1 0.8241 0.98971 0.00360 0.98268 0.99679 551 1 0.8378 0.98869 0.00380 0.98126 0.99617 552 1 0.9227 0.98767 0.00401 0.97985 0.99555 553 1 0.9637 0.98665 0.00420 0.97845 0.99492 554 1 1.0212 0.98564 0.00439 0.97707 0.99428 555 1 1.0349 0.98462 0.00458 0.97569 0.99364 556 1 1.0815 0.98361 0.00476 0.97432 0.99299 557 1 1.1116 0.98260 0.00494 0.97296 0.99234 558 1 1.2539 0.98159 0.00512 0.97161 0.99168 559 1 1.2950 0.98058 0.00530 0.97026 0.99102 560 1 1.3087 0.97958 0.00547 0.96892 0.99035 &#12; The SAS System 2017年 5月16日星期二 上午11時25分28秒 109 slope_ StdErr Lower Upper Obs 95gp followtime Survival Survival Survival Survival 561 1 1.33333 0.97857 0.005638 0.96759 0.98969 562 1 1.37988 0.97657 0.005973 0.96493 0.98835 563 1 1.40452 0.97557 0.006139 0.96361 0.98767 564 1 1.45654 0.97457 0.006302 0.96229 0.98700 565 1 1.46201 0.97357 0.006463 0.96098 0.98632 566 1 1.47570 0.97257 0.006623 0.95968 0.98564 567 1 1.50582 0.97158 0.006781 0.95838 0.98496 568 1 1.52225 0.97059 0.006938 0.95708 0.98428 569 1 1.54415 0.96960 0.007093 0.95579 0.98360 570 1 1.54689 0.96762 0.007400 0.95322 0.98223 571 1 1.55236 0.96565 0.007703 0.95067 0.98086 572 1 1.56605 0.96466 0.007852 0.94939 0.98018 573 1 1.57153 0.96368 0.008001 0.94812 0.97949 574 1 1.61533 0.96270 0.008149 0.94686 0.97880 575 1 1.68925 0.96172 0.008295 0.94560 0.97811 576 1 1.76591 0.96074 0.008441 0.94433 0.97742 577 1 1.76865 0.95976 0.008586 0.94307 0.97673 578 1 1.78782 0.95878 0.008730 0.94182 0.97604 579 1 2.06434 0.95780 0.008873 0.94057 0.97535 580 1 2.09993 0.95683 0.009015 0.93932 0.97466 581 1 2.13279 0.95585 0.009156 0.93807 0.97397 582 1 2.25873 0.95488 0.009296 0.93683 0.97328 583 1 2.26146 0.95391 0.009436 0.93560 0.97259 584 1 2.40110 0.95294 0.009574 0.93436 0.97189 585 1 2.44764 0.95197 0.009712 0.93313 0.97120 586 1 2.52156 0.95100 0.009850 0.93189 0.97051 587 1 2.54894 0.95004 0.009986 0.93067 0.96981 588 1 2.59548 0.94811 0.010256 0.92822 0.96843 589 1 2.62012 0.94715 0.010391 0.92700 0.96774 590 1 2.63381 0.94619 0.010525 0.92578 0.96704 591 1 2.68857 0.94426 0.010792 0.92335 0.96566 592 1 2.81999 0.94330 0.010925 0.92213 0.96496 593 1 2.83641 0.94234 0.011058 0.92091 0.96426 594 1 2.84189 0.94138 0.011189 0.91970 0.96357 595 1 2.92950 0.94042 0.011320 0.91849 0.96287 596 1 2.97604 0.93946 0.011451 0.91728 0.96218 597 1 2.97878 0.93850 0.011581 0.91608 0.96148 598 1 3.06092 0.93755 0.011711 0.91487 0.96078 599 1 3.09925 0.93659 0.011839 0.91367 0.96009 600 1 3.10198 0.93564 0.011967 0.91247 0.95939 601 1 3.19781 0.93468 0.012095 0.91128 0.95869 602 1 3.34292 0.93373 0.012222 0.91008 0.95799 603 1 3.35387 0.93277 0.012349 0.90888 0.95729 604 1 3.36482 0.93182 0.012475 0.90769 0.95659 605 1 3.43600 0.93087 0.012601 0.90649 0.95589 606 1 3.47981 0.92992 0.012726 0.90530 0.95520 607 1 3.54552 0.92896 0.012851 0.90412 0.95450 608 1 3.55373 0.92802 0.012974 0.90293 0.95380 609 1 3.57016 0.92707 0.013098 0.90175 0.95310 610 1 3.61123 0.92612 0.013221 0.90057 0.95240 611 1 3.62218 0.92518 0.013343 0.89939 0.95170 612 1 3.64408 0.92424 0.013465 0.89822 0.95101 613 1 3.64956 0.92328 0.013588 0.89703 0.95030 614 1 3.66598 0.92233 0.013711 0.89584 0.94959 615 1 3.70705 0.92137 0.013833 0.89466 0.94889 616 1 3.73169 0.92042 0.013954 0.89347 0.94818 617 1 3.79466 0.91947 0.014075 0.89230 0.94748 618 1 3.81383 0.91852 0.014195 0.89112 0.94677 619 1 3.92608 0.91758 0.014315 0.88994 0.94607 620 1 3.93977 0.91663 0.014434 0.88877 0.94536 621 1 3.95619 0.91568 0.014552 0.88760 0.94466 622 1 3.97262 0.91474 0.014671 0.88643 0.94395 623 1 4.07666 0.91380 0.014788 0.88527 0.94325 624 1 4.15332 0.91286 0.014905 0.88410 0.94254 625 1 4.17522 0.91192 0.015021 0.88294 0.94184 626 1 4.21629 0.91098 0.015137 0.88179 0.94113 627 1 4.26831 0.91004 0.015253 0.88063 0.94043 628 1 4.29021 0.90910 0.015368 0.87947 0.93972 629 1 4.38877 0.90816 0.015483 0.87832 0.93902 630 1 4.39699 0.90722 0.015597 0.87716 0.93831 &#12; The SAS System 2017年 5月16日星期二 上午11時25分28秒 110 slope_ StdErr Lower Upper Obs 95gp followtime Survival Survival Survival Survival 631 1 4.39973 0.90629 0.015711 0.87601 0.93761 632 1 4.44353 0.90535 0.015825 0.87486 0.93691 633 1 4.46270 0.90442 0.015937 0.87372 0.93620 634 1 4.50103 0.90349 0.016049 0.87258 0.93550 635 1 4.53114 0.90256 0.016161 0.87144 0.93480 636 1 4.58864 0.90164 0.016272 0.87030 0.93410 637 1 4.59138 0.90071 0.016382 0.86917 0.93340 638 1 4.60233 0.89979 0.016492 0.86803 0.93270 639 1 4.72005 0.89886 0.016602 0.86691 0.93200 640 1 4.77755 0.89794 0.016711 0.86578 0.93130 641 1 4.80767 0.89702 0.016819 0.86466 0.93060 642 1 4.86790 0.89610 0.016926 0.86354 0.92990 643 1 4.89254 0.89519 0.017034 0.86242 0.92920 644 1 4.90075 0.89427 0.017140 0.86130 0.92851 645 1 4.96646 0.89336 0.017247 0.86018 0.92781 646 1 4.98836 0.89244 0.017353 0.85907 0.92711 647 1 5.01300 0.89152 0.017459 0.85795 0.92641 648 1 5.02669 0.88969 0.017670 0.85572 0.92501 649 1 5.22108 0.88878 0.017774 0.85461 0.92430 650 1 5.23477 0.88786 0.017878 0.85350 0.92360 651 1 5.28405 0.88695 0.017982 0.85240 0.92290 652 1 5.29227 0.88603 0.018087 0.85128 0.92220 653 1 5.31143 0.88512 0.018191 0.85017 0.92150 654 1 5.32786 0.88421 0.018295 0.84907 0.92080 655 1 5.33881 0.88329 0.018399 0.84796 0.92010 656 1 5.43463 0.88238 0.018502 0.84685 0.91939 657 1 5.47844 0.88146 0.018605 0.84574 0.91869 658 1 5.52498 0.88055 0.018708 0.84464 0.91799 659 1 5.53867 0.87964 0.018810 0.84353 0.91729 660 1 5.57426 0.87873 0.018911 0.84243 0.91659 661 1 5.57700 0.87782 0.019013 0.84133 0.91589 662 1 5.58795 0.87691 0.019113 0.84024 0.91518 663 1 5.59343 0.87600 0.019213 0.83914 0.91448 664 1 5.59617 0.87510 0.019313 0.83805 0.91378 665 1 5.60712 0.87419 0.019413 0.83696 0.91308 666 1 5.64545 0.87329 0.019512 0.83587 0.91238 667 1 5.67556 0.87238 0.019611 0.83478 0.91168 668 1 5.68104 0.87147 0.019710 0.83369 0.91097 669 1 5.71663 0.87057 0.019809 0.83260 0.91027 670 1 5.73854 0.86967 0.019907 0.83151 0.90957 671 1 5.82615 0.86876 0.020004 0.83043 0.90887 672 1 5.85352 0.86786 0.020101 0.82934 0.90817 673 1 5.88912 0.86696 0.020198 0.82826 0.90747 674 1 5.91376 0.86606 0.020294 0.82718 0.90676 675 1 5.93292 0.86516 0.020391 0.82611 0.90606 676 1 5.93840 0.86426 0.020486 0.82503 0.90536 677 1 6.00137 0.86336 0.020581 0.82395 0.90466 678 1 6.06982 0.86247 0.020676 0.82288 0.90396 679 1 6.09172 0.86157 0.020771 0.82181 0.90326 680 1 6.15195 0.86068 0.020865 0.82074 0.90256 681 1 6.23409 0.85978 0.020959 0.81967 0.90186 682 1 6.28611 0.85889 0.021052 0.81860 0.90115 683 1 6.31896 0.85710 0.021238 0.81647 0.89975 684 1 6.37919 0.85621 0.021330 0.81541 0.89905 685 1 6.41752 0.85532 0.021422 0.81435 0.89835 686 1 6.42026 0.85443 0.021514 0.81329 0.89765 687 1 6.48871 0.85354 0.021605 0.81223 0.89695 688 1 6.56537 0.85265 0.021695 0.81118 0.89625 689 1 6.56810 0.85177 0.021786 0.81012 0.89555 690 1 6.59274 0.85088 0.021876 0.80907 0.89485 691 1 6.61191 0.84999 0.021965 0.80802 0.89416 692 1 6.62834 0.84911 0.022055 0.80696 0.89345 693 1 6.64203 0.84822 0.022144 0.80591 0.89275 694 1 6.64750 0.84734 0.022233 0.80487 0.89205 695 1 6.67214 0.84645 0.022321 0.80382 0.89135 696 1 6.69405 0.84557 0.022409 0.80277 0.89065 697 1 6.70500 0.84469 0.022496 0.80173 0.88995 698 1 6.72142 0.84381 0.022584 0.80068 0.88925 699 1 6.76523 0.84293 0.022671 0.79964 0.88855 700 1 6.81999 0.84204 0.022757 0.79860 0.88785 &#12; The SAS System 2017年 5月16日星期二 上午11時25分28秒 111 slope_ StdErr Lower Upper Obs 95gp followtime Survival Survival Survival Survival 701 1 6.82272 0.84116 0.022843 0.79756 0.88715 702 1 6.83641 0.84029 0.022929 0.79653 0.88645 703 1 6.85558 0.83941 0.023014 0.79549 0.88575 704 1 6.89391 0.83853 0.023099 0.79446 0.88505 705 1 6.95962 0.83766 0.023184 0.79343 0.88435 706 1 7.03080 0.83678 0.023268 0.79240 0.88365 707 1 7.06913 0.83591 0.023352 0.79137 0.88296 708 1 7.08830 0.83417 0.023518 0.78933 0.88156 709 1 7.12936 0.83330 0.023601 0.78831 0.88087 710 1 7.15674 0.83243 0.023684 0.78728 0.88017 711 1 7.16496 0.83156 0.023766 0.78626 0.87947 712 1 7.17591 0.83070 0.023848 0.78524 0.87878 713 1 7.21424 0.82983 0.023930 0.78423 0.87808 714 1 7.22793 0.82896 0.024011 0.78321 0.87739 715 1 7.24162 0.82810 0.024092 0.78220 0.87669 716 1 7.25530 0.82724 0.024173 0.78119 0.87600 717 1 7.27721 0.82637 0.024253 0.78018 0.87530 718 1 7.29637 0.82551 0.024333 0.77917 0.87461 719 1 7.30732 0.82465 0.024413 0.77816 0.87391 720 1 7.31828 0.82379 0.024492 0.77715 0.87322 721 1 7.51266 0.82292 0.024571 0.77615 0.87252 722 1 7.59480 0.82206 0.024650 0.77514 0.87182 723 1 7.64956 0.82121 0.024728 0.77414 0.87113 724 1 7.70157 0.82035 0.024806 0.77314 0.87043 725 1 7.75633 0.81949 0.024884 0.77214 0.86974 726 1 7.77276 0.81863 0.024961 0.77114 0.86904 727 1 7.79740 0.81777 0.025038 0.77014 0.86835 728 1 7.80014 0.81692 0.025115 0.76915 0.86766 729 1 7.81656 0.81607 0.025191 0.76816 0.86696 730 1 7.83573 0.81521 0.025267 0.76717 0.86627 731 1 7.84668 0.81437 0.025342 0.76618 0.86558 732 1 7.87953 0.81352 0.025417 0.76520 0.86489 733 1 7.88227 0.81267 0.025492 0.76421 0.86420 734 1 7.96988 0.81183 0.025566 0.76323 0.86351 735 1 8.02464 0.81098 0.025640 0.76225 0.86282 736 1 8.05202 0.81014 0.025713 0.76128 0.86214 737 1 8.13689 0.80930 0.025787 0.76030 0.86145 738 1 8.15606 0.80845 0.025860 0.75932 0.86076 739 1 8.19713 0.80761 0.025933 0.75835 0.86007 740 1 8.33949 0.80677 0.026005 0.75738 0.85939 741 1 8.38604 0.80593 0.026078 0.75641 0.85870 742 1 8.39151 0.80510 0.026150 0.75544 0.85801 743 1 8.40520 0.80426 0.026222 0.75447 0.85733 744 1 8.44353 0.80342 0.026294 0.75350 0.85664 745 1 8.50376 0.80258 0.026365 0.75253 0.85595 746 1 8.52019 0.80174 0.026437 0.75157 0.85527 747 1 8.52293 0.80090 0.026508 0.75060 0.85458 748 1 8.52567 0.80007 0.026580 0.74963 0.85390 749 1 8.57769 0.79923 0.026650 0.74867 0.85321 750 1 8.59138 0.79840 0.026721 0.74771 0.85252 751 1 8.59685 0.79756 0.026791 0.74675 0.85184 752 1 8.61328 0.79673 0.026861 0.74579 0.85116 753 1 8.67625 0.79507 0.026999 0.74387 0.84979 754 1 8.69815 0.79424 0.027068 0.74292 0.84910 755 1 8.77481 0.79341 0.027137 0.74196 0.84842 756 1 8.82683 0.79258 0.027205 0.74101 0.84773 757 1 8.94456 0.79175 0.027274 0.74006 0.84705 758 1 8.98015 0.79091 0.027342 0.73910 0.84636 759 1 8.98836 0.79008 0.027409 0.73815 0.84567 760 1 9.01300 0.78925 0.027477 0.73720 0.84499 761 1 9.08966 0.78842 0.027544 0.73624 0.84430 762 1 9.10883 0.78759 0.027611 0.73529 0.84361 763 1 9.13895 0.78676 0.027678 0.73434 0.84293 764 1 9.14716 0.78593 0.027744 0.73339 0.84224 765 1 9.16085 0.78510 0.027811 0.73245 0.84155 766 1 9.21834 0.78428 0.027876 0.73150 0.84086 767 1 9.24572 0.78345 0.027942 0.73055 0.84017 768 1 9.28953 0.78262 0.028007 0.72961 0.83949 769 1 9.30322 0.78180 0.028072 0.72867 0.83880 770 1 9.31143 0.78097 0.028137 0.72773 0.83811 &#12; The SAS System 2017年 5月16日星期二 上午11時25分28秒 112 slope_ StdErr Lower Upper Obs 95gp followtime Survival Survival Survival Survival 771 1 9.4045 0.78015 0.028201 0.72679 0.83743 772 1 9.4127 0.77933 0.028265 0.72585 0.83674 773 1 9.5359 0.77851 0.028329 0.72492 0.83606 774 1 9.5578 0.77768 0.028393 0.72398 0.83537 775 1 9.5743 0.77686 0.028456 0.72305 0.83469 776 1 9.5880 0.77604 0.028520 0.72211 0.83400 777 1 9.6454 0.77522 0.028584 0.72117 0.83332 778 1 9.6591 0.77440 0.028647 0.72024 0.83263 779 1 9.7221 0.77358 0.028710 0.71931 0.83195 780 1 9.7604 0.77276 0.028773 0.71838 0.83126 781 1 9.9384 0.77194 0.028835 0.71745 0.83058 782 1 9.9411 0.77113 0.028897 0.71652 0.82990 783 1 9.9466 0.77031 0.028959 0.71559 0.82921 784 1 9.9713 0.76950 0.029021 0.71467 0.82853 785 1 10.0698 0.76868 0.029082 0.71375 0.82785 786 1 10.0890 0.76787 0.029143 0.71282 0.82717 787 1 10.1656 0.76706 0.029204 0.71190 0.82648 788 1 10.1711 0.76624 0.029265 0.71098 0.82580 789 1 10.1793 0.76542 0.029325 0.71005 0.82511 790 1 10.2012 0.76460 0.029386 0.70912 0.82442 791 1 10.2615 0.76378 0.029446 0.70820 0.82373 792 1 10.2779 0.76297 0.029506 0.70727 0.82304 793 1 10.3792 0.76215 0.029566 0.70635 0.82236 794 1 10.3984 0.76133 0.029626 0.70542 0.82167 795 1 10.5024 0.76051 0.029685 0.70450 0.82098 796 1 10.5161 0.75970 0.029744 0.70358 0.82029 797 1 10.5216 0.75888 0.029803 0.70266 0.81960 798 1 10.5352 0.75806 0.029861 0.70174 0.81891 799 1 10.5572 0.75725 0.029920 0.70082 0.81822 800 1 10.5654 0.75643 0.029978 0.69990 0.81753 801 1 10.5736 0.75481 0.030093 0.69807 0.81616 802 1 10.5791 0.75400 0.030151 0.69716 0.81547 803 1 10.5873 0.75319 0.030208 0.69625 0.81478 804 1 10.6858 0.75238 0.030265 0.69534 0.81410 805 1 10.7543 0.75157 0.030322 0.69443 0.81341 806 1 10.7871 0.74995 0.030434 0.69261 0.81204 807 1 10.7926 0.74915 0.030490 0.69171 0.81135 808 1 10.8282 0.74834 0.030546 0.69080 0.81067 809 1 10.8857 0.74753 0.030601 0.68990 0.80998 810 1 10.8966 0.74673 0.030657 0.68899 0.80930 811 1 10.9158 0.74592 0.030712 0.68809 0.80861 812 1 10.9870 0.74511 0.030767 0.68719 0.80792 813 1 11.1348 0.74431 0.030822 0.68629 0.80724 814 1 11.2060 0.74351 0.030877 0.68539 0.80656 815 1 11.2088 0.74271 0.030931 0.68449 0.80587 816 1 11.3210 0.74191 0.030985 0.68360 0.80519 817 1 11.3320 0.74110 0.031038 0.68270 0.80451 818 1 11.3429 0.74031 0.031092 0.68181 0.80382 819 1 11.4031 0.73951 0.031145 0.68092 0.80314 820 1 11.4059 0.73871 0.031198 0.68003 0.80246 821 1 11.4114 0.73792 0.031250 0.67914 0.80178 822 1 11.4223 0.73712 0.031302 0.67825 0.80110 823 1 11.4360 0.73633 0.031354 0.67737 0.80042 824 1 11.4552 0.73554 0.031406 0.67649 0.79974 825 1 11.5209 0.73474 0.031458 0.67560 0.79906 826 1 11.6386 0.73395 0.031509 0.67472 0.79838 827 1 11.6578 0.73315 0.031560 0.67383 0.79769 828 1 11.7153 0.73236 0.031611 0.67295 0.79701 829 1 11.7591 0.73156 0.031662 0.67207 0.79633 830 1 11.7782 0.73077 0.031713 0.67118 0.79564 831 1 11.8549 0.72997 0.031763 0.67030 0.79496 832 1 11.8658 0.72918 0.031813 0.66942 0.79428 833 1 11.9069 0.72838 0.031863 0.66854 0.79359 834 1 11.9316 0.72759 0.031913 0.66766 0.79291 835 1 11.9945 0.72680 0.031962 0.66678 0.79222 836 1 12.0000 0.72601 0.032011 0.66590 0.79154 837 1 12.0301 0.72521 0.032060 0.66502 0.79085 838 1 12.0329 0.72442 0.032109 0.66415 0.79017 839 1 12.0630 0.72363 0.032158 0.66327 0.78949 840 1 12.0657 0.72284 0.032206 0.66240 0.78880 &#12; The SAS System 2017年 5月16日星期二 上午11時25分28秒 113 slope_ StdErr Lower Upper Obs 95gp followtime Survival Survival Survival Survival 841 1 12.0794 0.72206 0.032254 0.66153 0.78812 842 1 12.1040 0.72127 0.032302 0.66066 0.78744 843 1 12.1150 0.72048 0.032349 0.65979 0.78676 844 1 12.1259 0.71970 0.032396 0.65892 0.78608 845 1 12.1506 0.71891 0.032443 0.65806 0.78540 846 1 12.1862 0.71813 0.032490 0.65719 0.78472 847 1 12.1889 0.71735 0.032536 0.65633 0.78404 848 1 12.2026 0.71578 0.032628 0.65461 0.78268 849 1 12.2053 0.71500 0.032674 0.65375 0.78200 850 1 12.2272 0.71422 0.032719 0.65289 0.78132 851 1 12.2546 0.71345 0.032764 0.65203 0.78064 852 1 12.2601 0.71267 0.032809 0.65118 0.77996 853 1 12.2683 0.71189 0.032854 0.65032 0.77928 854 1 12.2875 0.71111 0.032898 0.64947 0.77861 855 1 12.3149 0.71034 0.032942 0.64862 0.77793 856 1 12.3203 0.70956 0.032986 0.64777 0.77725 857 1 12.3696 0.70878 0.033030 0.64691 0.77657 858 1 12.3997 0.70801 0.033074 0.64606 0.77589 859 1 12.4079 0.70724 0.033117 0.64522 0.77522 860 1 12.4189 0.70646 0.033161 0.64437 0.77454 861 1 12.5339 0.70569 0.033204 0.64352 0.77386 862 1 12.5503 0.70492 0.033247 0.64268 0.77319 863 1 12.5558 0.70415 0.033290 0.64184 0.77252 864 1 12.5667 0.70338 0.033332 0.64099 0.77184 865 1 12.5859 0.70261 0.033374 0.64015 0.77117 866 1 12.6188 0.70185 0.033416 0.63931 0.77049 867 1 12.6324 0.70108 0.033458 0.63848 0.76982 868 1 12.6817 0.70031 0.033500 0.63764 0.76915 869 1 12.7091 0.69955 0.033541 0.63680 0.76847 870 1 12.7173 0.69878 0.033582 0.63597 0.76780 871 1 12.7337 0.69802 0.033623 0.63514 0.76713 872 1 12.8597 0.69726 0.033663 0.63430 0.76646 873 1 12.9172 0.69649 0.033704 0.63347 0.76579 874 1 12.9884 0.69573 0.033744 0.63264 0.76512 875 1 13.0075 0.69497 0.033784 0.63181 0.76445 876 1 13.0459 0.69421 0.033824 0.63099 0.76377 877 1 13.0623 0.69345 0.033863 0.63016 0.76310 878 1 13.0650 0.69269 0.033903 0.62933 0.76243 879 1 13.1116 0.69193 0.033942 0.62851 0.76176 880 1 13.1225 0.69117 0.033981 0.62768 0.76109 881 1 13.1280 0.69041 0.034020 0.62685 0.76041 882 1 13.1499 0.68965 0.034058 0.62603 0.75974 883 1 13.1608 0.68889 0.034097 0.62520 0.75907 884 1 13.1910 0.68813 0.034135 0.62438 0.75840 885 1 13.1992 0.68738 0.034173 0.62356 0.75773 886 1 13.2156 0.68662 0.034210 0.62274 0.75705 887 1 13.2348 0.68586 0.034248 0.62192 0.75638 888 1 13.2621 0.68511 0.034285 0.62110 0.75571 889 1 13.2950 0.68436 0.034322 0.62029 0.75504 890 1 13.4073 0.68360 0.034359 0.61947 0.75437 891 1 13.4127 0.68285 0.034396 0.61866 0.75371 892 1 13.4511 0.68210 0.034432 0.61784 0.75304 893 1 13.4894 0.68135 0.034469 0.61703 0.75237 894 1 13.5250 0.68060 0.034505 0.61622 0.75170 895 1 13.5277 0.67985 0.034541 0.61541 0.75104 896 1 13.5414 0.67910 0.034577 0.61461 0.75037 897 1 13.5797 0.67835 0.034612 0.61380 0.74970 898 1 13.6482 0.67761 0.034647 0.61299 0.74903 899 1 13.6591 0.67686 0.034682 0.61218 0.74837 900 1 13.6865 0.67611 0.034717 0.61138 0.74770 901 1 13.6947 0.67537 0.034752 0.61058 0.74703 902 1 13.7413 0.67388 0.034820 0.60898 0.74570 903 1 13.7741 0.67314 0.034854 0.60818 0.74504 904 1 13.7878 0.67240 0.034888 0.60738 0.74438 905 1 13.8070 0.67166 0.034922 0.60658 0.74371 906 1 13.8563 0.67018 0.034988 0.60500 0.74239 907 1 13.8700 0.66944 0.035021 0.60420 0.74172 908 1 13.9192 0.66870 0.035054 0.60341 0.74106 909 1 13.9493 0.66796 0.035087 0.60261 0.74039 910 1 13.9713 0.66721 0.035120 0.60181 0.73972 &#12; The SAS System 2017年 5月16日星期二 上午11時25分28秒 114 slope_ StdErr Lower Upper Obs 95gp followtime Survival Survival Survival Survival 911 1 13.9904 0.66647 0.035153 0.60101 0.73905 912 1 14.0068 0.66572 0.035185 0.60021 0.73838 913 1 14.0479 0.66498 0.035218 0.59942 0.73772 914 1 14.0808 0.66424 0.035250 0.59862 0.73705 915 1 14.0945 0.66350 0.035283 0.59783 0.73638 916 1 14.1136 0.66275 0.035315 0.59703 0.73571 917 1 14.1985 0.66201 0.035346 0.59623 0.73504 918 1 14.2067 0.66127 0.035378 0.59544 0.73438 919 1 14.2478 0.66053 0.035409 0.59465 0.73371 920 1 14.2505 0.65979 0.035440 0.59386 0.73304 921 1 14.3162 0.65905 0.035471 0.59307 0.73238 922 1 14.3272 0.65832 0.035502 0.59229 0.73171 923 1 14.3710 0.65758 0.035533 0.59150 0.73105 924 1 14.4120 0.65684 0.035564 0.59071 0.73038 925 1 14.4230 0.65611 0.035595 0.58992 0.72972 926 1 14.4339 0.65537 0.035625 0.58914 0.72905 927 1 14.4367 0.65464 0.035655 0.58835 0.72839 928 1 14.4668 0.65390 0.035685 0.58757 0.72772 929 1 14.4695 0.65317 0.035715 0.58679 0.72706 930 1 14.5243 0.65243 0.035746 0.58600 0.72639 931 1 14.5763 0.65170 0.035775 0.58522 0.72573 932 1 14.5955 0.65097 0.035805 0.58444 0.72507 933 1 14.6229 0.65023 0.035835 0.58366 0.72440 934 1 14.6667 0.64950 0.035864 0.58288 0.72374 935 1 14.7570 0.64877 0.035893 0.58210 0.72308 936 1 14.7625 0.64805 0.035922 0.58133 0.72242 937 1 14.8118 0.64732 0.035951 0.58055 0.72176 938 1 14.8145 0.64659 0.035979 0.57978 0.72110 939 1 14.8556 0.64586 0.036008 0.57901 0.72044 940 1 14.8611 0.64514 0.036036 0.57824 0.71978 941 1 14.8665 0.64441 0.036064 0.57746 0.71912 942 1 14.8966 0.64369 0.036092 0.57670 0.71846 943 1 14.8994 0.64296 0.036120 0.57592 0.71780 944 1 14.9131 0.64151 0.036175 0.57438 0.71648 945 1 14.9158 0.64078 0.036203 0.57361 0.71582 946 1 14.9870 0.64006 0.036230 0.57285 0.71516 947 1 15.0034 0.63933 0.036257 0.57208 0.71450 948 1 15.0089 0.63861 0.036285 0.57131 0.71384 949 1 15.0171 0.63788 0.036312 0.57054 0.71318 950 1 15.0363 0.63716 0.036338 0.56978 0.71252 951 1 15.0500 0.63644 0.036365 0.56901 0.71186 952 1 15.1923 0.63571 0.036392 0.56824 0.71119 953 1 15.1951 0.63499 0.036418 0.56747 0.71053 954 1 15.2005 0.63426 0.036444 0.56671 0.70987 955 1 15.2663 0.63282 0.036496 0.56518 0.70855 956 1 15.3320 0.63209 0.036522 0.56442 0.70788 957 1 15.3648 0.63137 0.036547 0.56365 0.70722 958 1 15.4251 0.63065 0.036572 0.56289 0.70656 959 1 15.4497 0.62921 0.036622 0.56137 0.70524 960 1 15.4579 0.62849 0.036647 0.56061 0.70458 961 1 15.4962 0.62777 0.036672 0.55986 0.70392 962 1 15.5072 0.62705 0.036696 0.55910 0.70326 963 1 15.5565 0.62632 0.036720 0.55833 0.70259 964 1 15.5756 0.62560 0.036745 0.55757 0.70193 965 1 15.5784 0.62487 0.036769 0.55681 0.70126 966 1 15.5838 0.62343 0.036816 0.55529 0.69993 967 1 15.6413 0.62270 0.036839 0.55453 0.69926 968 1 15.6988 0.62198 0.036863 0.55377 0.69860 969 1 15.7563 0.62126 0.036886 0.55301 0.69793 970 1 15.8960 0.62054 0.036908 0.55226 0.69726 971 1 15.8987 0.61982 0.036931 0.55150 0.69660 972 1 15.9206 0.61910 0.036954 0.55074 0.69593 973 1 15.9233 0.61837 0.036976 0.54999 0.69526 974 1 15.9316 0.61765 0.036998 0.54923 0.69460 975 1 15.9398 0.61694 0.037020 0.54848 0.69393 976 1 15.9452 0.61622 0.037042 0.54773 0.69327 977 1 15.9863 0.61550 0.037064 0.54698 0.69260 978 1 16.0246 0.61478 0.037085 0.54623 0.69194 979 1 16.0520 0.61407 0.037106 0.54548 0.69128 980 1 16.0684 0.61335 0.037127 0.54474 0.69062 &#12; The SAS System 2017年 5月16日星期二 上午11時25分28秒 115 slope_ StdErr Lower Upper Obs 95gp followtime Survival Survival Survival Survival 981 1 16.0767 0.61264 0.037148 0.54399 0.68995 982 1 16.1040 0.61193 0.037169 0.54325 0.68929 983 1 16.1369 0.61122 0.037189 0.54251 0.68863 984 1 16.1424 0.61051 0.037210 0.54176 0.68797 985 1 16.1506 0.60980 0.037230 0.54102 0.68731 986 1 16.1971 0.60909 0.037250 0.54028 0.68665 987 1 16.2163 0.60767 0.037289 0.53881 0.68534 988 1 16.2519 0.60697 0.037308 0.53808 0.68468 989 1 16.2765 0.60626 0.037327 0.53735 0.68402 990 1 16.2902 0.60556 0.037346 0.53661 0.68337 991 1 16.3203 0.60416 0.037384 0.53516 0.68206 992 1 16.3313 0.60346 0.037402 0.53443 0.68140 993 1 16.3587 0.60275 0.037421 0.53370 0.68075 994 1 16.3669 0.60205 0.037439 0.53297 0.68009 995 1 16.3943 0.60135 0.037457 0.53224 0.67944 996 1 16.4271 0.60065 0.037475 0.53151 0.67878 997 1 16.4408 0.59995 0.037493 0.53079 0.67812 998 1 16.4572 0.59925 0.037510 0.53006 0.67747 999 1 16.4983 0.59855 0.037527 0.52934 0.67682 1000 1 16.5229 0.59786 0.037544 0.52862 0.67616 1001 1 16.5366 0.59716 0.037561 0.52790 0.67551 1002 1 16.5394 0.59647 0.037578 0.52718 0.67486 1003 1 16.5804 0.59577 0.037595 0.52646 0.67421 1004 1 16.6762 0.59508 0.037611 0.52575 0.67356 1005 1 16.7009 0.59370 0.037644 0.52432 0.67226 1006 1 16.7556 0.59301 0.037660 0.52360 0.67161 1007 1 16.7666 0.59231 0.037676 0.52289 0.67096 1008 1 16.7830 0.59162 0.037692 0.52218 0.67031 1009 1 16.8569 0.59093 0.037707 0.52146 0.66966 1010 1 16.9062 0.59024 0.037723 0.52075 0.66900 1011 1 17.0595 0.58954 0.037738 0.52003 0.66835 1012 1 17.0842 0.58885 0.037754 0.51932 0.66770 1013 1 17.0979 0.58816 0.037769 0.51861 0.66705 1014 1 17.1006 0.58747 0.037784 0.51790 0.66640 1015 1 17.1143 0.58678 0.037799 0.51719 0.66575 1016 1 17.1170 0.58610 0.037814 0.51648 0.66510 1017 1 17.6728 0.58541 0.037828 0.51577 0.66445 1018 1 17.9959 0.58472 0.037843 0.51506 0.66380 1019 1 18.0123 0.58404 0.037857 0.51436 0.66315 1020 1 18.1081 0.58335 0.037871 0.51365 0.66251 1021 1 18.1547 0.58266 0.037885 0.51295 0.66186 1022 1 18.1985 0.58198 0.037899 0.51224 0.66121 1023 1 18.3162 0.58129 0.037913 0.51153 0.66055 1024 1 18.3354 0.58060 0.037927 0.51083 0.65990 1025 1 18.3819 0.57991 0.037940 0.51012 0.65925 1026 1 18.4066 0.57923 0.037953 0.50942 0.65860 1027 1 18.4969 0.57854 0.037966 0.50872 0.65795 1028 1 18.5133 0.57786 0.037979 0.50801 0.65730 1029 1 18.5216 0.57717 0.037992 0.50731 0.65665 1030 1 18.5791 0.57649 0.038005 0.50662 0.65601 1031 1 18.7050 0.57581 0.038017 0.50592 0.65536 1032 1 18.7762 0.57513 0.038030 0.50522 0.65471 1033 1 18.8200 0.57445 0.038042 0.50453 0.65407 1034 1 18.8227 0.57309 0.038066 0.50314 0.65278 1035 1 18.8255 0.57241 0.038078 0.50244 0.65213 1036 1 18.8309 0.57173 0.038089 0.50175 0.65148 1037 1 18.8611 0.57106 0.038101 0.50106 0.65084 1038 1 18.9185 0.57038 0.038112 0.50037 0.65019 1039 1 18.9350 0.56971 0.038124 0.49968 0.64955 1040 1 19.0144 0.56903 0.038135 0.49899 0.64890 1041 1 19.0418 0.56836 0.038146 0.49830 0.64826 1042 1 19.0883 0.56769 0.038156 0.49762 0.64762 1043 1 19.1157 0.56702 0.038167 0.49693 0.64698 1044 1 19.1266 0.56635 0.038178 0.49625 0.64634 1045 1 19.1622 0.56567 0.038188 0.49557 0.64570 1046 1 19.1951 0.56500 0.038198 0.49488 0.64506 1047 1 19.2088 0.56433 0.038209 0.49420 0.64442 1048 1 19.2115 0.56366 0.038219 0.49352 0.64378 1049 1 19.2225 0.56300 0.038229 0.49284 0.64314 1050 1 19.2361 0.56233 0.038238 0.49216 0.64250 &#12; The SAS System 2017年 5月16日星期二 上午11時25分28秒 116 slope_ StdErr Lower Upper Obs 95gp followtime Survival Survival Survival Survival 1051 1 19.2498 0.56166 0.03825 0.49148 0.64186 1052 1 19.3347 0.56099 0.03826 0.49080 0.64121 1053 1 19.3402 0.56032 0.03827 0.49012 0.64057 1054 1 19.3484 0.55965 0.03828 0.48944 0.63993 1055 1 19.3867 0.55898 0.03829 0.48876 0.63929 1056 1 19.4579 0.55831 0.03829 0.48808 0.63864 1057 1 19.4798 0.55764 0.03830 0.48740 0.63800 1058 1 19.5510 0.55696 0.03831 0.48671 0.63735 1059 1 19.5565 0.55628 0.03832 0.48602 0.63669 1060 1 19.7125 0.55547 0.03833 0.48520 0.63592 1061 1 19.7426 0.55464 0.03834 0.48436 0.63513 1062 1 19.7509 0.55381 0.03836 0.48351 0.63433 1063 1 19.7645 0.55298 0.03837 0.48267 0.63354 1064 1 19.8193 0.55100 0.03840 0.48064 0.63165 1065 1 19.8220 0.55000 0.03842 0.47963 0.63070 1066 1 19.8275 0.54898 0.03843 0.47858 0.62972 1067 1 19.8713 0.54775 0.03846 0.47733 0.62855 1068 1 19.9945 0.54624 0.03849 0.47578 0.62713 1069 1 20.0027 0.54473 0.03852 0.47423 0.62571 1070 1 20.0137 0.54322 0.03855 0.47268 0.62428 1071 1 20.0821 0.54168 0.03858 0.47110 0.62284 1072 1 20.1040 0.54009 0.03861 0.46947 0.62134 1073 1 20.1561 0.53841 0.03865 0.46774 0.61975 1074 1 20.2491 0.53650 0.03870 0.46578 0.61797 1075 1 20.3066 0.53424 0.03876 0.46342 0.61588 1076 1 20.3285 0.53184 0.03884 0.46092 0.61368 1077 1 20.4189 0.52827 0.03899 0.45712 0.61050 1078 1 57.0541 0.32863 0.12977 0.15156 0.71258 </PRE><P><STRIKE>Still checking if this is what I want, especially for "diradj", don't know what it is.</STRIKE></P><P>I've found the information in SAS document, and make sure the statement "diradj" fits this case.</P><P>Therefore, the problem is solved!</P><P>Thank you for your advice!!!</P> Wed, 17 May 2017 06:10:37 GMT https://communities.sas.com/t5/SAS-Programming/Drawing-two-curves-on-one-plot/m-p/358916#M84374 Chung-Li 2017-05-17T06:10:37Z