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Journal of Chinese Integrative Medicine ›› 2010, Vol. 8 ›› Issue (4): 385-391.doi: 10.3736/jcim20100415

• Medical Statistice • Previous Articles     Next Articles

Statistical analysis for data of multidimensional contingency table with SAS software package (Part six)

Yi Gea,Liang-ping Hub   

  1. a Command Academy of Logistics, Beijing 100858, China
    b Consulting Center of Biomedical Statistics, Academy of Military Medical Sciences, Beijing 100850, China
  • Received:2010-03-05 Accepted:2010-04-07 Online:2010-04-20 Published:2010-04-15
  • Contact: Liang-ping Hu E-mail:lphu812@sina.com

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Key words: Statistics, Medicine, Data analysis, Statistical, Qualitative data, SAS software

Testing global null hypothesis: BETA=0"

Test Chi-square df Pr>ChiSq
Likelihood ratio 9.621 0 3 0.022 1
Score 9.374 9 3 0.024 7
Wald 8.887 5 3 0.030 8

Analysis of maximum likelihood estimates"

Variable df Parameter estimate Standard error Chi-square Pr>ChiSq Hazard ratio 95% hazard ratio confidence
x1 1 0.691 31 0.318 93 4.698 4 0.030 2 1.996 1.068 3.730
x2 1 0.443 85 0.720 34 0.379 7 0.537 8 1.559 0.380 6.396
x3 1 -0.205 79 0.747 57 0.075 8 0.783 1 0.814 0.188 3.523

Analysis of maximum likelihood estimates"

Variable df Parameter estimate Standard error Chi-square Pr>ChiSq Hazard ratio 95% hazard ratio confidence
x1 1 0.657 61 0.293 96 5.004 3 0.025 3 1.930 1.085 3.434
x2 1 0.255 42 0.225 83 1.279 2 0.258 1 1.291 0.829 2.010

Testing global null hypothesis: BETA=0"

Test Chi-square df Pr>ChiSq
Likelihood ratio 5.854 1 1 0.015 5
Score 6.775 1 1 0.009 2
Wald 6.142 8 1 0.013 2

Analysis of maximum likelihood estimates"

Variable df Parameter estimate Standard error Chi-square Pr>ChiSq Hazard ratio
X2 1 1.117 99 0.451 08 6.142 8 0.013 2 3.059

Summary of stepwise selection"

Step ■ Variable Number Score Wald
Entered Removed In Chi-square Chi-square i TV^/illoCJ
1 X2 i 6. 775 1 0. 009 2

"

A B C D E F A B C D E F A B C D E F A B C D E F
16 1 130 0 0 0 16 0 110 0 0 0 22 0 169 0 0 0 22 0 129 0 0 0
16 0 112 0 0 0 16 0 135 1 0 0 23 1 97 0 0 1 23 1 187 1 0 0
16 0 135 1 0 0 16 0 170 0 0 0 23 1 120 0 0 0 23 1 110 1 0 0
16 0 95 0 0 0 17 1 130 1 0 1 23 1 94 1 0 0 23 0 130 0 0 0
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
17 1 110 1 0 0 17 1 120 1 0 0 23 0 128 0 0 0 23 0 119 0 0 0
22 0 158 0 0 0 22 0 112 1 0 0 32 1 105 1 0 0 32 0 121 0 0 0
22 0 131 0 0 0 22 0 125 0 0 0 32 0 132 0 0 0 32 0 134 1 0 0
32 0 170 0 0 0 32 0 186 0 0 0

Testing global null hypothesis BETA=0"

Test Chi-square df Pr>ChiSq
Likelihood ratio 17.984 5 4 0.001 2
Score 17.333 6 4 0.001 7
Wald 15.570 9 4 0.003 7

Analysis of maximum likelihood estimates"

Parameter df Parameter estimate Standard error Chi-square Pr>ChiSq Hazard ratio
LWT 1 –0.033 11 0.015 58 4.516 4 0.033 6 0.967
Smoke 1 0.806 99 0.367 99 4.809 1 0.028 3 2.241
HT 1 1.749 09 0.738 34 5.611 9 0.017 8 5.749
UI 1 0.884 83 0.480 31 3.393 7 0.065 4 2.423
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