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# Biostatistics logistic model with three variables

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In a paper that appeared four years later, Halperin et al. [1971] reexamined the Framingham data analysis by Truett et al. [1967] using a logistic model. Halperin et al. analyzed several subsets of the data; for this problem we abstract the data for men aged 29 to 39 years, and three variables: cholesterol, systolic blood pressure, and cigarette smoking (0 = never smoked; 1 = smoker); cholesterol and systolic blood pressure are measured. The following coefficients
for the logistic and discriminant models (with standard errors in parentheses) were
obtained:
See Pb continued as attchment.

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Pb 13.7 Biostatistics logistic model with 3 variables

In a paper that appeared four years later, Halperin et al. [1971] reexamined the Framingham data analysis by Truett et al. [1967] using a logistic model. Halperin et al. analyzed several subsets of the data; for this problem we abstract the data for men aged 29 to 39 years, and three variables: cholesterol, systolic blood pressure, and cigarette smoking (0 = never smoked; 1 = smoker); cholesterol and systolic blood pressure are measured. The following coefficients for the logistic and discriminant models (with standard errors in parentheses) were obtained: See Pb continued as attachment.
Credit Value: 10 Deadline: November 6, 2011, 12:21 am

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Cholesterol Systolic

Intercept (mg/100 mL) Blood Pressure Cigarettes

Logistic −11.6246 0.0179(0.0036) 0.0277(0.0085) 1.7346(0.6236)
Discriminant −13.5300 0.0236(0.0039) 0.0302(0.0100) ...

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