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Logistic regression model for BPD as a function of title2 Birth Weight, Gestational Age, and Toxemia |
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Study of Low Birth Weight Infants |
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The GENMOD Procedure |
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Model Information |
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Data Set |
WORK.LOWBWT |
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Distribution |
Binomial |
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Link Function |
Logit |
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Dependent Variable |
bpd |
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Observations Used |
223 |
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Response Profile |
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Ordered |
bpd |
Total |
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1 |
1 |
76 |
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2 |
0 |
147 |
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PROC GENMOD is modeling the probability that bpd='1'. |
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Criteria For Assessing Goodness Of Fit |
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Criterion |
DF |
Value |
Value/DF |
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Deviance |
219 |
203.7075 |
0.9302 |
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Scaled Deviance |
219 |
203.7075 |
0.9302 |
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Pearson Chi-Square |
219 |
289.1697 |
1.3204 |
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Scaled Pearson X2 |
219 |
289.1697 |
1.3204 |
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Log Likelihood |
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-101.8538 |
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Algorithm converged. |
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Analysis Of Parameter Estimates |
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Parameter |
DF |
Estimate |
Standard Error |
Wald 95% Confidence Limits |
Chi-Square |
Pr > ChiSq |
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Intercept |
1 |
13.9361 |
2.9826 |
8.0904 |
19.7818 |
21.83 |
<.0001 |
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weight |
1 |
-0.2644 |
0.0812 |
-0.4236 |
-0.1051 |
10.59 |
0.0011 |
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gestage |
1 |
-0.3885 |
0.1149 |
-0.6137 |
-0.1634 |
11.44 |
0.0007 |
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toxemia |
1 |
-1.3438 |
0.6075 |
-2.5345 |
-0.1531 |
4.89 |
0.0270 |
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Scale |
0 |
1.0000 |
0.0000 |
1.0000 |
1.0000 |
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