constant hazard method ---------------------- Before Prune daughter-nodes split split median node # cases left right var # value value 0 2001 1 2 1 50.00 9505.00 1 1505 3 4 9 2.61 9565.00 2 496 5 6 3 114.00 8038.00 3 1193 7 8 5 2.69 9576.00 4 312 9 10 8 24.71 9492.00 5 58 11 12 8 21.94 7936.00 6 438 13 14 9 2.27 8064.00 7 1167 15 16 9 2.53 9577.00 8 26 17 18 9 2.47 9414.00 9 65 19 20 5 0.93 8709.00 10 247 21 22 1 40.00 9542.00 12 43 23 24 8 25.67 8328.00 13 32 25 26 8 25.27 9606.00 14 406 27 28 8 27.88 7964.50 15 1013 29 30 7 {1} 9575.00 16 154 31 32 8 24.37 9597.00 17 18 33 34 1 44.00 9573.00 19 57 35 36 8 23.96 8709.00 21 53 37 38 4 182.00 9618.00 constant hazard method ---------------------- After Prune daughter-nodes split split median node # cases left right var # value value 0 2001 1 2 1 50.00 9505.00 1 1505 3 4 9 2.61 9565.00 2 496 5 6 3 114.00 8038.00 3 1193 7 8 5 2.69 9576.00 4 312 9 10 8 24.71 9492.00 6 438 13 14 9 2.27 8064.00 7 1167 15 16 9 2.53 9577.00 8 26 17 18 9 2.47 9414.00 9 65 19 20 5 0.93 8709.00 10 247 21 22 1 40.00 9542.00 14 406 27 28 8 27.88 7964.50 15 1013 29 30 7 {1} 9575.00 log rank method --------------- Before Prune daughter-nodes split split median node # cases left right var # value value 0 2001 1 2 1 51.00 9505.00 1 1590 3 4 9 2.59 9560.00 2 411 5 6 3 114.00 7982.00 3 1221 7 8 5 2.96 9575.00 4 369 9 10 1 44.00 9477.00 5 48 11 12 3 112.00 7830.50 6 363 13 14 4 146.00 7984.00 7 1203 15 16 7 {1} 9576.00 8 18 17 18 1 45.00 8533.00 9 204 19 20 8 24.71 9577.50 10 165 21 22 4 301.00 8461.00 11 36 23 24 4 203.00 8345.50 14 355 25 26 1 58.00 7996.00 15 309 27 28 2 2.00 9610.00 16 894 29 30 1 44.00 9559.00 19 42 31 32 8 23.35 9457.50 20 162 33 34 5 -0.53 9614.00 21 157 35 36 8 24.50 8601.00 24 24 37 38 4 256.00 8610.00 log rank method --------------- After Prune daughter-nodes split split median node # cases left right var # value value 0 2001 1 2 1 51.00 9505.00 1 1590 3 4 9 2.59 9560.00 2 411 5 6 3 114.00 7982.00 3 1221 7 8 5 2.96 9575.00 4 369 9 10 1 44.00 9477.00 5 48 11 12 3 112.00 7830.50 6 363 13 14 4 146.00 7984.00 7 1203 15 16 7 {1} 9576.00 9 204 19 20 8 24.71 9577.50 10 165 21 22 4 301.00 8461.00 11 36 23 24 4 203.00 8345.50 14 355 25 26 1 58.00 7996.00 15 309 27 28 2 2.00 9610.00 16 894 29 30 1 44.00 9559.00 19 42 31 32 8 23.35 9457.50 20 162 33 34 5 -0.53 9614.00 21 157 35 36 8 24.50 8601.00 Gordon-Olshen method -------------------- daughter-nodes split split median node # cases left right var # value value 0 2001 1 2 1 58.00 9505.00 1 1966 3 4 8 18.28 9510.50 2 35 5 6 8 22.90 7887.00 4 1955 7 8 4 340.00 9512.00 6 27 9 10 9 2.49 8278.00 7 1935 11 12 3 184.00 9514.00 8 20 13 14 9 2.39 7588.50 11 1922 15 16 9 2.73 9515.00 15 1832 17 18 5 3.57 9534.00 16 90 19 20 9 2.75 7733.50 17 1813 21 22 5 2.96 9537.00 18 19 23 24 9 2.38 9065.00 20 75 25 26 8 23.36 7747.00 21 1799 27 28 1 54.00 9542.00 26 64 29 30 3 144.00 7741.50 27 1653 31 32 4 324.00 9564.00 28 146 33 34 9 2.72 7957.50 29 46 35 36 4 206.00 8364.00 30 18 37 38 3 160.00 4609.50 Gordon-Olshen method -------------------- After Prune daughter-nodes split split median node # cases left right var # value value 0 2001 1 2 1 58.00 9505.00 1 1966 3 4 8 18.28 9510.50 4 1955 7 8 4 340.00 9512.00 7 1935 11 12 3 184.00 9514.00 8 20 13 14 9 2.39 7588.50 11 1922 15 16 9 2.73 9515.00 15 1832 17 18 5 3.57 9534.00 16 90 19 20 9 2.75 7733.50 17 1813 21 22 5 2.96 9537.00 20 75 25 26 8 23.36 7747.00 21 1799 27 28 1 54.00 9542.00 adaptive normalization ---------------- Before Prune daughter-nodes split split median node # cases left right var # value value 0 2001 1 2 1 47.00 9505.00 1 1231 3 4 9 2.60 9587.00 2 770 5 6 9 2.72 8562.50 3 976 7 8 3 138.00 9599.00 4 255 9 10 1 44.00 9528.00 5 638 11 12 3 136.00 8941.50 6 132 13 14 3 154.00 7554.50 7 816 15 16 5 2.11 9613.00 8 160 17 18 4 209.00 9492.00 9 191 19 20 7 {1} 9571.00 10 64 21 22 8 23.39 8359.50 11 432 23 24 7 {1} 9343.50 12 206 25 26 8 22.15 8044.50 13 115 27 28 8 27.34 7731.00 14 17 29 30 8 28.88 3489.00 15 790 31 32 4 332.00 9617.50 16 26 33 34 9 2.47 8797.50 17 48 35 36 9 2.52 9564.50 18 112 37 38 9 2.30 9228.50 adaptive normalization ---------------- After Prune daughter-nodes split split median node # cases left right var # value value 0 2001 1 2 1 47.00 9505.00 1 1231 3 4 9 2.60 9587.00 2 770 5 6 9 2.72 8562.50 3 976 7 8 3 138.00 9599.00 4 255 9 10 1 44.00 9528.00 5 638 11 12 3 136.00 8941.50 7 816 15 16 5 2.11 9613.00 8 160 17 18 4 209.00 9492.00 9 191 19 20 7 {1} 9571.00 10 64 21 22 8 23.39 8359.50 11 432 23 24 7 {1} 9343.50 15 790 31 32 4 332.00 9617.50 18 112 37 38 9 2.30 9228.50 global normalization ---------------- Before Prune daughter-nodes split split median node # cases left right var # value value 0 2001 1 2 1 47.00 9505.00 1 1231 3 4 9 2.60 9587.00 2 770 5 6 9 2.72 8562.50 3 976 7 8 7 {1} 9599.00 4 255 9 10 8 24.71 9528.00 5 638 11 12 1 51.00 8941.50 6 132 13 14 3 154.00 7554.50 7 246 15 16 4 220.00 9622.00 8 730 17 18 5 2.40 9582.50 9 50 19 20 5 -0.82 8112.50 10 205 21 22 5 -0.70 9572.00 11 315 23 24 7 {1} 9437.00 12 323 25 26 3 114.00 8377.00 13 115 27 28 8 26.99 7731.00 14 17 29 30 8 28.88 3489.00 15 153 31 32 2 2.00 9604.00 16 93 33 34 5 -1.16 9637.00 17 698 35 36 3 138.00 9588.00 18 32 37 38 9 2.47 9398.00 global normalization ---------------- After Prune daughter-nodes split split median node # cases left right var # value value 0 2001 1 2 1 47.00 9505.00 1 1231 3 4 9 2.60 9587.00 2 770 5 6 9 2.72 8562.50 3 976 7 8 7 {1} 9599.00 4 255 9 10 8 24.71 9528.00 5 638 11 12 1 51.00 8941.50 6 132 13 14 3 154.00 7554.50 7 246 15 16 4 220.00 9622.00 8 730 17 18 5 2.40 9582.50 10 205 21 22 5 -0.70 9572.00 11 315 23 24 7 {1} 9437.00 12 323 25 26 3 114.00 8377.00 13 115 27 28 8 26.99 7731.00 15 153 31 32 2 2.00 9604.00