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Journal of Chinese Integrative Medicine ›› 2010, Vol. 8 ›› Issue (5): 489-493.doi: 10.3736/jcim20100515

• Medical Statistice • Previous Articles     Next Articles

Survival analysis using SAS software package

 Wei-wei Liu, Liang-ping Hu   

  1. Consulting Center of Biomedical Statistics, Academy of Military Medical Sciences, Beijing 100850, China
  • Received:2010-03-20 Accepted:2010-04-07 Online:2010-05-20 Published:2010-05-15
  • Contact: Liang-ping Hu E-mail:lphu812@sina.com

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Key words: Statistics, Medicine, Survival analysis, Censored data, SAS software

"

编号 年龄 肿瘤分级 肿瘤大小 是否复发 生存时间 (月） 生存结局
1 62 1 0 0 59 0
2 64 1 0 0 54 1
3 52 2 0 1 44 0
28 56 3 1 1 9 1
29 73 3 1 1 7 1
30 54 3 1 1 6 1

The LIFETEST procedureStratum 2: group=BProduct limit survival estimates"

t Survival Failure Standard
error		 Number
failed		 Number
left
0. 000 1. 000 0 0 0 0 11
1. 000 1 10
1. 000 0.818 2 0. 181 8 0. 116 3 2 9
9.000 0. 727 3 0.272 7 0. 134 3 3 8
17.000 0. 636 4 0. 363 6 0. 145 0 4 7
21.000 0. 545 5 0. 454 5 0. 150 1 5 6
25. 000 0. 454 5 0. 545 5 0. 150 1 6 5
37. 000 0. 363 6 0. 636 4 0. 145 0 7 4
38. 000 0. 272 7 0. 727 3 0. 134 3 8 3
58. 000 0. 181 8 0. 818 2 0. 116 3 9 2
72.000 * . 9 1
73.000 0 1. 000 0 0 10 0

Summary statistics for time variable tQuartile estimates"

Percent Point
estimate		 95% confidence interval Mean Standard
error
75 58. 000 25.000 73.000
50 25. 000 9.000 58.000 32.091 7. 986
25 9. 000 1. 000 25.000

Testing homogeneity of survival curves for t over strataTest of equality over strata"

Test Chi-square df PV >chi-square
Log-rank 7.080 6 1 0. 007 8
Wilcoxon 6.080 3 1 0. 013 7
— 2log( log-rank) 8.494 7 1 0. 003 6

"

The PHREG procedureVariable relapse is enteredThe model contains the following explanatory variables: grade size relapseModel fit statistics"

Criterion Without covariates With covariates
-2 LOG L 143.536 109.115
AIC 143.536 115.115
SBC 143.536 119.002

Testing global null hypothesis: BETA=0"

Test Chi-square df _Pr〉ChiSq
Likelihood ratio 34.421 0 3 <0. 000 1
Score 33.981 0 3 <0. 000 1
Wald 23.657 3 3 <0. 000 1

Analysis of maximum likelihood estimates"

Variable df Parameter
estimate		 Standard
error		 Chi-square Pr>ChiSq Hazard
ratio
Grade 1 1.680 27 0.381 64 19.383 9 <0. 000 1 5. 367
Size 1 1.078 09 0.460 04 5.491 9 0. 019 1 2. 939
Relapse 1 0.978 92 0.460 23 4.524 3 0. 033 4 2. 662

Summary of stepwise selection"

Step Variable Number Score Wald chi-square chi-square Pr>ChiSq
Entered Removed
1 Grade 1 26. 094 5 . <0. 000 1
2 Size 2 6. 843 6 . 0. 008 9
3 Relapse 3 4. 769 1 . 0. 029 0
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