. use "bpd.dta"
. replace weight=weight/100
(223 real changes made)
. glm bpd weight,family(binomial 1) link(logit)
Iteration 0: log likelihood = -112.47132
Iteration 1: log likelihood = -111.86032
Iteration 2: log likelihood = -111.86031
Generalized linear models No. of obs = 223
Optimization : ML Residual df = 221
Scale parameter = 1
Deviance = 223.7206243 (1/df) Deviance = 1.012311
Pearson = 251.6649547 (1/df) Pearson = 1.138755
Variance function: V(u) = u*(1-u) [Bernoulli]
Link function : g(u) = ln(u/(1-u)) [Logit]
AIC = 1.021169
Log likelihood = -111.8603121 BIC = -971.2643
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| OIM
bpd | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
weight | -.4229139 .0640855 -6.60 0.000 -.5485192 -.2973087
_cons | 4.034291 .6957851 5.80 0.000 2.670577 5.398004
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Logistic Regression Model for BPD as a function of Birth Weight , Gestational Age, and Toxemia
. glm bpd weight gestage toxemia,family(binomial 1) link(logit)
Iteration 0: log likelihood = -103.49545
Iteration 1: log likelihood = -101.86315
Iteration 2: log likelihood = -101.85377
Iteration 3: log likelihood = -101.85377
Generalized linear models No. of obs = 223
Optimization : ML Residual df = 219
Scale parameter = 1
Deviance = 203.7075444 (1/df) Deviance = .9301714
Pearson = 289.169671 (1/df) Pearson = 1.320409
Variance function: V(u) = u*(1-u) [Bernoulli]
Link function : g(u) = ln(u/(1-u)) [Logit]
AIC = .9493612
Log likelihood = -101.8537722 BIC = -980.4631
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| OIM
bpd | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
weight | -.2643577 .0812316 -3.25 0.001 -.4235687 -.1051468
gestage | -.3885357 .1148914 -3.38 0.001 -.6137186 -.1633527
toxemia | -1.343786 .6075041 -2.21 0.027 -2.534472 -.1531001
_cons | 13.93608 2.982554 4.67 0.000 8.090383 19.78178
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