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Cited by 1,753

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Presentation of multivariate data for clinical use: The Framingham Study risk score functions

Sullivan, Lisa M., Massaro, Joseph M., D'Agostino, Ralph B.·2004·Statistics in Medicine

Abstract

The Framingham Heart Study has been a leader in the development and dissemination of multivariable statistical models to estimate the risk of coronary heart disease. These models quantify the impact of measurable and modifiable risk factors on the development of coronary heart disease and can be used to generate estimates of risk of coronary heart disease over a predetermined period, for example the next 10 years. We developed a system, which we call a points system, for making these complex statistical models useful to practitioners. The system is easy to use, it does not require a calculator or computer and it simplifies the estimation of risk based on complex statistical models. This system represents an effort to make available a tool for clinicians to aid in their decision‐making process regarding treatment and to assist them in motivating patients toward healthy behaviours. The system is also readily available to patients who can easily estimate their own coronary heart disease risk and monitor this risk over time. Copyright © 2004 John Wiley & Sons, Ltd.

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Crossref · 10.1002/sim.1742

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Metadata

Authors
Sullivan, L. M., Massaro, J. M., & D'Agostino, R. B.
Venue
Statistics in Medicine
Publisher
Wiley
Published
2004-04-27
Volume
23
Issue
10
Pages
1631-1660
ISSN
  • 0277-6715 (ISSN-L)
  • 1097-0258
OpenAlex
W2037195555
Cited by
1,753
References
4
FWCI
8.94
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.