Significant interactions between traditional risk factors affect cardiovascular risk prediction in healthy general population.

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Significant interactions between traditional risk factors affect cardiovascular risk prediction in healthy general population.

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2014 nî lūn-bûn

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2014年学术文章

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Significant interactions betwe ...... in healthy general population.

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Significant interactions betwe ...... in healthy general population.

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Significant interactions betwe ...... in healthy general population.

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Significant interactions betwe ...... in healthy general population.

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Significant interactions betwe ...... in healthy general population.

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Significant interactions betwe ...... in healthy general population.

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Significant interactions betwe ...... in healthy general population.

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Erkki Vartiainen

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Jussi A Hernesniemi

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Niku Oksala

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P2860

Prediction of Coronary Heart Disease Using Risk Factor Categories

Prevalence and Trends in Obesity Among US Adults, 1999-2000

Stroke risk profile: adjustment for antihypertensive medication. The Framingham Study

2013 ACC/AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines

Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond

Implications of recent clinical trials for the National Cholesterol Education Program Adult Treatment Panel III guidelines

pROC: an open-source package for R and S+ to analyze and compare ROC curves

The validation of the Finnish Hospital Discharge Register and Causes of Death Register data on stroke diagnoses.

Blood cholesterol and vascular mortality by age, sex, and blood pressure: a meta-analysis of individual data from 61 prospective studies with 55,000 vascular deaths.

The feasibility of routine mortality and morbidity register data linkage to study the occurrence of acute coronary heart disease events in Finland. The Finnish Cardiovascular Diseases Registers (CVDR) Project.

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53-60

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scholarly article

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10.3109/07853890.2014.970570

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English

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2014-11-18T00:00:00Z

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25405541

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