***This is Stanford heart transplant data, 103 obs. Same data set as ***P. Allison. But (1) age (=ageaccpt) is transformed, so that 0 actually ***means the subject is 48-year-old at the time of acceptance. (2) The Year of ***of acceptance is measured from 10/01/1967. So year=0 means the subject is ***accepted at 10/01/1967. (3) for subject with a transplant there are 2 lines ***of data: first line for before transplant second line for after transplant ***(this is how Splus handle a time change covariate). ***Here the time change covariate is transplant, which may change from 0 to 1) ***surgery: prior surgery (1=yes, 0=no) (start stop) is the time interval that this subject had join the game. For example: lines 3 and 4 are actually for one subject. This subject got transplant after only 1 day of waiting. and died at day 16 after acceptance. here transplant is a time-dependent covariate. event: (1=dead, 0=alive) To fit a Cox model with time dependent covariate in R looks like coxph( Surv(start, stop, event) ~ age + transplant) start stop event age year surgery transplant id 1 0.0 50.0 1 -17.15537303 0.12320329 0 0 1 2 0.0 6.0 1 3.83572895 0.25462012 0 0 2 3 0.0 1.0 0 6.29705681 0.26557153 0 0 3 4 1.0 16.0 1 6.29705681 0.26557153 0 1 3 5 0.0 36.0 0 -7.73716632 0.49007529 0 0 4 6 36.0 39.0 1 -7.73716632 0.49007529 0 1 4 7 0.0 18.0 1 -27.21423682 0.60780287 0 0 5 8 0.0 3.0 1 6.59548255 0.70088980 0 0 6 9 0.0 51.0 0 2.86926762 0.78028747 0 0 7 10 51.0 675.0 1 2.86926762 0.78028747 0 1 7 11 0.0 40.0 1 -2.65023956 0.83504449 0 0 8 12 0.0 85.0 1 -0.83778234 0.85694730 0 0 9 13 0.0 12.0 0 -5.49760438 0.86242300 0 0 10 14 12.0 58.0 1 -5.49760438 0.86242300 0 1 10 15 0.0 26.0 0 -0.01916496 0.87337440 0 0 11 16 26.0 153.0 1 -0.01916496 0.87337440 0 1 11 17 0.0 8.0 1 5.19370294 0.96372348 0 0 12 18 0.0 17.0 0 6.57357974 0.96919918 0 0 13 19 17.0 81.0 1 6.57357974 0.96919918 0 1 13 20 0.0 37.0 0 6.01232033 0.97193703 0 0 14 21 37.0 1387.0 1 6.01232033 0.97193703 0 1 14 22 0.0 1.0 1 5.81519507 0.99110198 1 0 15 23 0.0 28.0 0 1.44832307 1.07049966 0 0 16 24 28.0 308.0 1 1.44832307 1.07049966 0 1 16 25 0.0 36.0 1 -27.66872005 1.07597536 0 0 17 26 0.0 20.0 0 8.84873374 1.08692676 0 0 18 27 20.0 43.0 1 8.84873374 1.08692676 0 1 18 28 0.0 37.0 1 11.12388775 1.13347023 0 0 19 29 0.0 18.0 0 7.27994524 1.33059548 0 0 20 30 18.0 28.0 1 7.27994524 1.33059548 0 1 20 31 0.0 8.0 0 -4.65708419 1.33880903 0 0 21 32 8.0 1032.0 1 -4.65708419 1.33880903 0 1 21 33 0.0 12.0 0 -5.21560575 1.46201232 0 0 22 34 12.0 51.0 1 -5.21560575 1.46201232 0 1 22 35 0.0 3.0 0 10.35728953 1.52772074 0 0 23 36 3.0 733.0 1 10.35728953 1.52772074 0 1 23 37 0.0 83.0 0 3.80013689 1.56605065 0 0 24 38 83.0 219.0 1 3.80013689 1.56605065 0 1 24 39 0.0 25.0 0 -14.77618070 1.57426420 0 0 25 40 25.0 1800.0 0 -14.77618070 1.57426420 0 1 25 41 0.0 1401.0 0 -17.46475017 1.58247775 0 0 26 42 0.0 263.0 1 -39.21423682 1.59069131 0 0 27 43 0.0 71.0 0 6.02327173 1.68377823 0 0 28 44 71.0 72.0 1 6.02327173 1.68377823 0 1 28 45 0.0 35.0 1 2.43394935 1.78507871 0 0 29 46 0.0 16.0 0 -3.08829569 1.88364134 0 0 30 47 16.0 852.0 1 -3.08829569 1.88364134 0 1 30 48 0.0 16.0 1 6.88569473 1.89459274 0 0 31 49 0.0 17.0 0 16.40793977 1.91101985 0 0 32 50 17.0 77.0 1 16.40793977 1.91101985 0 1 32 51 0.0 51.0 0 0.90349076 2.15742642 0 0 33 52 51.0 1587.0 0 0.90349076 2.15742642 0 1 33 53 0.0 23.0 0 -7.44695414 2.19849418 0 0 34 54 23.0 1572.0 0 -7.44695414 2.19849418 0 1 34 55 0.0 12.0 1 -4.53388090 2.30800821 0 0 35 56 0.0 46.0 0 0.92539357 2.50787132 0 0 36 57 46.0 100.0 1 0.92539357 2.50787132 0 1 36 58 0.0 19.0 0 13.50034223 2.56536619 0 0 37 59 19.0 66.0 1 13.50034223 2.56536619 0 1 37 60 0.0 4.5 0 -6.52977413 2.59274470 0 0 38 61 4.5 5.0 1 -6.52977413 2.59274470 0 1 38 62 0.0 2.0 0 2.51882272 2.63381246 0 0 39 63 2.0 53.0 1 2.51882272 2.63381246 0 1 39 64 0.0 41.0 0 0.48186174 2.64750171 1 0 40 65 41.0 1408.0 0 0.48186174 2.64750171 1 1 40 66 0.0 58.0 0 -2.69678303 2.88295688 1 0 41 67 58.0 1322.0 0 -2.69678303 2.88295688 1 1 41 68 0.0 3.0 1 -11.55920602 2.88843258 0 0 42 69 0.0 2.0 1 -4.60780287 3.05817933 1 0 43 70 0.0 40.0 1 -5.42094456 3.16495551 1 0 44 71 0.0 1.0 0 -11.81656400 3.26351814 0 0 45 72 1.0 45.0 1 -11.81656400 3.26351814 0 1 45 73 0.0 2.0 0 0.61054073 3.27720739 1 0 46 74 2.0 996.0 1 0.61054073 3.27720739 1 1 46 75 0.0 21.0 0 -0.90075291 3.34017796 0 0 47 76 21.0 72.0 1 -0.90075291 3.34017796 0 1 47 77 0.0 9.0 1 8.03559206 3.34839151 0 0 48 78 0.0 36.0 0 -11.34565366 3.37577002 1 0 49 79 36.0 1142.0 0 -11.34565366 3.37577002 1 1 49 80 0.0 83.0 0 -2.11362081 3.37577002 1 0 50 81 83.0 980.0 1 -2.11362081 3.37577002 1 1 50 82 0.0 32.0 0 0.73374401 3.47707050 0 0 51 83 32.0 285.0 1 0.73374401 3.47707050 0 1 51 84 0.0 102.0 1 -6.75154004 3.56468172 0 0 52 85 0.0 41.0 0 -0.65708419 3.75085558 0 0 53 86 41.0 188.0 1 -0.65708419 3.75085558 0 1 53 87 0.0 3.0 1 -0.20807666 3.75085558 0 0 54 88 0.0 10.0 0 4.45448323 3.85489391 0 0 55 89 10.0 61.0 1 4.45448323 3.85489391 0 1 55 90 0.0 67.0 0 -9.25667351 3.92334018 0 0 56 91 67.0 942.0 0 -9.25667351 3.92334018 0 1 56 92 0.0 149.0 1 -6.73511294 3.95071869 0 0 57 93 0.0 21.0 0 0.01642710 3.97809719 1 0 58 94 21.0 343.0 1 0.01642710 3.97809719 1 1 58 95 0.0 78.0 0 -6.61738535 3.99452430 1 0 59 96 78.0 916.0 0 -6.61738535 3.99452430 1 1 59 97 0.0 3.0 0 1.05407255 4.13141684 0 0 60 98 3.0 68.0 1 1.05407255 4.13141684 0 1 60 99 0.0 2.0 1 4.56399726 4.17522245 0 0 61 100 0.0 69.0 1 -8.64613279 4.18891170 0 0 62 101 0.0 27.0 0 -15.34017796 4.19712526 0 0 63 102 27.0 842.0 0 -15.34017796 4.19712526 0 1 63 103 0.0 33.0 0 0.81587953 4.33675565 1 0 64 104 33.0 584.0 1 0.81587953 4.33675565 1 1 64 105 0.0 12.0 0 3.29363450 4.42984257 0 0 65 106 12.0 78.0 1 3.29363450 4.42984257 0 1 65 107 0.0 32.0 1 5.21286790 4.46817248 0 0 66 108 0.0 57.0 0 -28.44900753 4.47638604 0 0 67 109 57.0 285.0 1 -28.44900753 4.47638604 0 1 67 110 0.0 3.0 0 -2.75975359 4.51745380 0 0 68 111 3.0 68.0 1 -2.75975359 4.51745380 0 1 68 112 0.0 10.0 0 -0.01095140 4.66803559 0 0 69 113 10.0 670.0 0 -0.01095140 4.66803559 0 1 69 114 0.0 5.0 0 5.00205339 4.71184120 0 0 70 115 5.0 30.0 1 5.00205339 4.71184120 0 1 70 116 0.0 31.0 0 -0.59137577 4.80492813 0 0 71 117 31.0 620.0 0 -0.59137577 4.80492813 0 1 71 118 0.0 4.0 0 -21.27310062 4.87063655 0 0 72 119 4.0 596.0 0 -21.27310062 4.87063655 0 1 72 120 0.0 27.0 0 8.33127995 4.94729637 0 0 73 121 27.0 90.0 1 8.33127995 4.94729637 0 1 73 122 0.0 5.0 0 -18.83367556 4.96646133 0 0 74 123 5.0 17.0 1 -18.83367556 4.96646133 0 1 74 124 0.0 2.0 1 4.18069815 4.99657769 0 0 75 125 0.0 46.0 0 4.08487337 5.01026694 1 0 76 126 46.0 545.0 0 4.08487337 5.01026694 1 1 76 127 0.0 21.0 1 -6.88843258 5.01574264 0 0 77 128 0.0 210.0 0 0.70362765 5.09240246 0 0 78 129 210.0 515.0 0 0.70362765 5.09240246 0 1 78 130 0.0 67.0 0 5.78234086 5.16632444 0 0 79 131 67.0 96.0 1 5.78234086 5.16632444 0 1 79 132 0.0 26.0 0 -1.55509925 5.18275154 1 0 80 133 26.0 482.0 0 -1.55509925 5.18275154 1 1 80 134 0.0 6.0 0 4.89253936 5.28405202 0 0 81 135 6.0 445.0 0 4.89253936 5.28405202 0 1 81 136 0.0 428.0 0 -18.79808350 4.08487337 0 0 82 137 0.0 32.0 0 5.30869268 5.31690623 0 0 83 138 32.0 80.0 1 5.30869268 5.31690623 0 1 83 139 0.0 37.0 0 -5.28131417 5.33333333 0 0 84 140 37.0 334.0 1 -5.28131417 5.33333333 0 1 84 141 0.0 5.0 1 -0.01916496 5.35249829 0 0 85 142 0.0 8.0 0 0.91991786 5.41546886 0 0 86 143 8.0 397.0 0 0.91991786 5.41546886 0 1 86 144 0.0 60.0 0 -1.74674880 5.47022587 0 0 87 145 60.0 110.0 1 -1.74674880 5.47022587 0 1 87 146 0.0 31.0 0 6.36276523 5.48939083 0 0 88 147 31.0 370.0 0 6.36276523 5.48939083 0 1 88 148 0.0 139.0 0 3.04722793 5.51129363 0 0 89 149 139.0 207.0 1 3.04722793 5.51129363 0 1 89 150 0.0 160.0 0 4.03285421 5.51403149 1 0 90 151 160.0 186.0 1 4.03285421 5.51403149 1 1 90 152 0.0 340.0 1 -0.40520192 5.53319644 0 0 91 153 0.0 310.0 0 -3.01711157 5.57152635 0 0 92 154 310.0 340.0 0 -3.01711157 5.57152635 0 1 92 155 0.0 28.0 0 -0.24914442 5.77686516 0 0 93 156 28.0 265.0 0 -0.24914442 5.77686516 0 1 93 157 0.0 4.0 0 -4.15879535 5.95482546 1 0 94 158 4.0 165.0 1 -4.15879535 5.95482546 1 1 94 159 0.0 2.0 0 -7.71800137 5.97672827 0 0 95 160 2.0 16.0 1 -7.71800137 5.97672827 0 1 95 161 0.0 13.0 0 -21.34976044 6.00958248 0 0 96 162 13.0 180.0 0 -21.34976044 6.00958248 0 1 96 163 0.0 21.0 0 -24.38329911 6.14373717 0 0 97 164 21.0 131.0 0 -24.38329911 6.14373717 0 1 97 165 0.0 96.0 0 -19.37029432 6.20396988 0 0 98 166 96.0 109.0 0 -19.37029432 6.20396988 0 1 98 167 0.0 21.0 1 1.83436003 6.23408624 0 0 99 168 0.0 38.0 0 -12.93908282 6.39561944 1 0 100 169 38.0 39.0 0 -12.93908282 6.39561944 1 1 100 170 0.0 31.0 0 1.51676934 6.41752225 0 0 101 171 0.0 11.0 0 -7.60848734 6.47227926 0 0 102 172 0.0 6.0 1 -8.68446270 -0.04928131 0 0 103