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Table 5 Maximum likelihood estimates of binary logistic and probit regression models for a CHD event for subjects in the Framingham offspring study in the 20-year observation period predicted by the demographic, behavioral and anthropometric variables and diabetes in Exam 11

From: A longitudinal analysis of the risk factors for diabetes and coronary heart disease in the Framingham Offspring Study

  Dependent variable: CHD event in the 20-year period n = 3718
Independent variable Binary logistic model Probit model
  Coefficient SE 95% CI for exp (β)   Coefficient SE Marginal effect SE
Constant -3.531 1.902 - - -2.072* 0.996 - -
Sex -0.979* 0.209 0.249 0.566 -0.507* 0.107 -0.051* 0.011
Age 0.080* 0.008 1.067 1.100 0.041* 0.004 0.004* 0.0004
Physical activity score -0.021 0.017 0.947 1.013 -0.010 0.009 -0.001 0.001
Alcohol index -0.004 0.011 0.974 1.019 0.002 0.006 -0.0002 0.0006
Cigarettes smoked 0.015* 0.004 1.008 1.023 0.009* 0.002 0.0009* 0.0002
Systolic Blood Pressure -0.008 0.007 0.978 1.005 -0.003 0.004 -0.0003 0.0004
Diastolic Blood Pressure 0.033* 0.010 1.013 1.055 0.017* 0.005 0.002* 0.0006
LDL 0.007* 0.002 1.004 1.011 0.004* 0.001 0.0004* 0.0001
HDL -0.020* 0.005 0.969 0.991 -0.009* 0.002 -0.0009* 0.0003
Weight 0.000 0.006 0.988 1.012 0.0005 0.003 0.0001 0.003
Height -2.077 1.075 0.015 1.031 -1.075 0.564 -0.109 0.057
Diabetes in Exam 1 1.195* 0.333 1.721 6.343 0.695* 0.196 0.070* 0.020
Chi-square statistic2, df = 1 4.65* -    2.46 -   
  1. 1 Values are slope coefficients and standard errors; see equation (5) in the text. 2 Chi-square test for combining height and weight as the BMI based on a logarithmic specification of the model. * P < 0.05.