Prediction of Coronary Heart Disease Using Risk Factor Categories¶
Wilson. (1998). Prediction of Coronary Heart Disease Using Risk Factor Categories. Circulation.
Cited by¶
1 citation across 1 artifact.
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Domain-specific¶
- Regression
- Using decades of follow-up from the Framingham Heart Study cohort, statisticians fit regression models (logistic and Cox proportional-hazards forms) predicting the probability of a cardiovascular event over a time horizon from a handful of predictors: age, sex, total and HDL cholesterol, systolic blood pressure, smoking, and diabetes.
This sourceThe Framingham Heart Study coronary-risk functions, in which sex-specific prediction equations were fitted to a cohort followed 12 years to predict CHD from age, smoking, diabetes, blood pressure and cholesterol categories.
Supported in partVerified against the publisher's abstract
“The patients were 2489 men and 2856 women 30 to 74 years old at baseline with 12 years of follow-up.”
- Using decades of follow-up from the Framingham Heart Study cohort, statisticians fit regression models (logistic and Cox proportional-hazards forms) predicting the probability of a cardiovascular event over a time horizon from a handful of predictors: age, sex, total and HDL cholesterol, systolic blood pressure, smoking, and diabetes.
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