Statistical Methods for Survival Data Analysis 3rd phần 6 pdf

... 90.089 0.2 16 0.171 0 .67 9 INDTHE (a  ) 0. 168 0.185 0.823 0. 364 SCALE () 1.000 0.071 SHAPE () 0.450 0.223 INTERCPT (a  ) 2.748 0.3 96 48.247 0.000 INDADE (a  ) 90. 766 0.280 7.492 0.0 06 INDSMA ... 158, 160 , 112, 114, 1 36, 154, 154, 174, 211, 220, 231, 252, 161 , 1 86, 197, 2 26, 2 26, 2 56, 267 , 322, 323, 327 243, 253, 269 , 308, 465 the x population and   and   be those...

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... cannot always be determined. For example, consider the following set of survival data: 4, 6, 6 ; ,10 ; , 15, 20.  9 Preface Statistical methods for survival data analysis have continued ... 50 2 3B 1 3.8 3.9 3 76 1 3B 1 6. 3 10.5 4 66 2 3B 1 2.3 5.4 5 33 1 3B 1 6. 4 19.5 6 23 2 3B 1 23.8 ; 23.8 ; 7 40 2 3B 1 1.8 7.9 8 34 1 3B 1 5.5 16. 9 ; 9 34 1 3B 1 16....

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... 98,723 6, 349,958 64 .31 13—14 0.00032 98,713 32 98 ,69 7 6, 251,235 63 .33 14—15 0.00047 98 ,68 1 46 98 ,65 8 6, 152,538 62 .35 15— 16 0.00 063 98 ,63 5 62 98 ,60 4 6, 053,880 61 .38 16 17 0.00077 98,573 76 98,534 ... 44.44 34—35 0.00170 96, 485 163 96, 404 4,197,8 86 43.51 35— 36 0.00178 96, 322 172 96, 2 36 4,101,482 42.58 36 37 0.00188 96, 150 181 96, 060 4,005,2 46 41 ....

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... 97.2 85 1—2 83.3 97.1 86 2—3 85.9 96. 9 89 3—4 86. 8 96. 7 90 4—5 89.2 96. 6 92 5 6 90.0 96. 4 93 6 7 89.9 96. 4 93 7—8 91 .6 96. 2 95 8—9 92.0 96. 1 96 9—10 92.7 96. 1 96 10—11 92.9 95.9 97 11—12 94.0 95.8 ... 0.5198 261 15 7 0.8571 0.3035 0.3 365 0. 369 7 280 16 6 0.8333 0.2529 0.2883 0.2489 280 17 5 0.8000 0.2023 0.2402 0.2489 2 96 18 4 0.7500 0.1517 0.1920 0. 166 0 2 96 19 3 0 ....

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... 1.00 363 0.523899 0.009 266 2.87 91.8 1.00485 0.529899 0.011971 3.59 91.7 1.0 064 5 0.537141 0.015 368 4. 46 91 .6 1.00852 0.545827 0.01 961 0 5.48 91.5 1.01120 0.5 561 86 0.024884 6. 68 91.4 1.01 467 0. 568 417 ... 0.039 460 9 .68 91.2 1.02488 0 .60 00 46 0.049355 11.51 91.1 1.03224 0 .62 0049 0. 061 491 13.57 91.0 1.04 168 0 .64 3438 0.0 763 45 15.87 90.9 1.053 76 0 .67 0724 0.094501...

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... 0.0835 0.4 861 0.2980 0.3311 5 3 0.875 0.700 0.100 0.741 0.0741 0.3015 0.18 46 0.2308 8 4 0.857 0 .60 0 0.100 0 .61 9 0. 061 9 0.1 468 0.1547 0.2210 10; 5 — — 0 0.549 0 0.0908 0.0 560 0.0933 15 6 0.800 0.480 ... last three columns are for calculation of the estimated variance of C. Thus,  : 1 16 (1.3 166 ) : 0.0823 and C*: (10(0.4808 9 0.5) (0.0823 :90.21 16 For  : 0.05, Z ? :...

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... 144 64 .59 0 0 68 .60 1 1 1 48. 16 41.13 23 192 62 . 26 0 1 64 .88 1 0 0 31.47 0.00 23 192 62 . 26 0 1 65 .27 0 0 1 36. 17 31.47 24 54 57. 56 0 0 57.95 1 0 1 4 .67 0.00 25 264 60 .03 0 0 73.03 1 0 0 36. 07 ... 0.00 25 264 60 .03 0 0 73.71 1 0 0 44.19 36. 07 25 264 60 .03 0 0 64 .17 1 0 0 49 .68 44.19 25 264 60 .03 0 0 65 .15 1 0 1 61 .44 49 .68 26 40 44.30 0 0 45.48 1 0 0...

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... Rearranged Data from Table 13.7 for Fitting AG Model ID TL TR CS TRT N S 1090112 2 0590011 30311 26 3 31401 26 4 0121011 412 161 011 4 161 80011 5 061 111 5 61 21111 512131111 513 260 111 60 31031 6 3151031 61 5 461 031 64 6511031 65 1530031 function. ... Infiltrate -45% 46 90% 990% Total Response 4 (8.34) 20 (20.32) 13 (8.34) 37 Nonresponse 12 (7 .66 ) 19 (18 .68 ) 3 (7 .66 ) 34...

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... statistic for H  : b  : b  : 0 26. 261 0.0001 Model from Complementary Log-Log Link Function 1 INTERCP1 95 .62 6 0.915 37.813 0.0001 2 INTERCP2 94. 562 0.894 26. 025 0.0001 SBP 0.014 0.0 06 5.721 0.0 168 LINSUL ... 0.0213 LACR 0.1 86 0. 065 8. 060 0.0045 LINSUL 0.445 0.1 56 8.1 46 0.0043 Hosmer—Lemeshow test statistic 7.3 86 0.49 56 Model with Log-Log Link Function INTERCPT 97.740...

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... Approach. Methods of Information in Medicine, 40(4), 288—292. Lee, E. T. (1980). Statistical Methods for Survival Data Analysis. Lifetime Learning Publications, Belmont, CA. Lee, E. T. (1992). Statistical ... Office. 474 SAS, 7, 94, 115, 172, 173, 80, 188, 194, 1 96, 235, 268 , 273, 2 76, 279, 283, 289, 291, 3 06, 310, 317, 322, 333, 3 46, 350, 355, 366 , 389, 392, 397, 403, 4...

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