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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.