Coronary heart disease risk prediction in the Atherosclerosis Risk in Communities (ARIC) study.
By L. Chambless, A. Folsom, A. Sharrett, P. Sorlie, D. Couper, M. Szklo, F. Nieto. 2003
318 citations recorded by the source corpus.
Subfields: Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Endocrinology, Diabetes and Metabolism
Citations in the corpus
- Bootstrapping with Models: Confidence Intervals for Off-Policy Evaluation (2016, neutral): “However, bootstrapping is considered safe enough for high risk medical predictions and in practice has a well established record of producing accurate confidence intervals [3].”
- Preventing undesirable behavior of intelligent machines (2019, methodology): “Despite their shortcomings, the use of approximate concentration bounds such as Student’s t-test and bootstrap confidence bounds remains commonplace in the sciences, including high-risk medical research [92, 93].”
- High Confidence Off-Policy Evaluation with Models (2016, background): “However, bootstrapping is considered safe enough for high risk medical predictions and in practice has a well established record of producing accurate confidence intervals [3].”
- Carotid intima-media thickness and presence or absence of plaque improves prediction of coronary heart disease risk in the Atherosclerosis Risk in Communities (ARIC) study (2010, unknown): “(4) in the RIC cohort, is similar to the Framingham risk score and ncludes age, age(2), sex, systolic blood pressure, antihyperensive medication use, total cholesterol, high-density lioprotein cholesterol, diabetes mellitus, and smoking status.”
- Use of carotid ultrasound to identify subclinical vascular disease and evaluate cardiovascular disease risk: a consensus statement from the American Society of Echocardiography Carotid Intima-Media Thickness Task Force. Endorsed by the Society for Vascular Medicine. (2008, result): “under the receiver operator characteristic curve for predicting cardiovascular events.(28,29) The relationship between increasing CIMT and incident CVD events has been established across a wide age range; however, the strongest data are for individuals between 42 and 74 years of age, because several”
- Plasma HDL cholesterol and risk of myocardial infarction: a mendelian randomisation study (2012, unknown): “Of note, at the cholesterol ester transfer protein (CETP) gene, we did fi nd that common genetic variation reduces risk of myocardial infarction by 4%, a result in line with an earlier meta-analysis.(32) However, the CETP variant both increases HDL cholesterol and lowers LDL cholesterol(17) in a man”
- Estimation of time‐dependent area under the ROC curve for long‐term risk prediction (2006, methodology): “Examples are presented from the Atherosclerosis Risk in Communities (ARIC) study [13, 14] and from simulations.”
- On Ensuring that Intelligent Machines Are Well-Behaved (2017, methodology): “sciences, including high-risk medical research [Chambless et al., 2003; Folsom et al., 2003].”