R
Ralph B. D'Agostino
Researcher at Wake Forest University
Publications - 1336
Citations - 250792
Ralph B. D'Agostino is an academic researcher from Wake Forest University. The author has contributed to research in topics: Framingham Heart Study & Framingham Risk Score. The author has an hindex of 226, co-authored 1287 publications receiving 229636 citations. Previous affiliations of Ralph B. D'Agostino include VA Boston Healthcare System & University of Illinois at Urbana–Champaign.
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Journal ArticleDOI
Prediction of Coronary Heart Disease Using Risk Factor Categories
Peter W.F. Wilson,Ralph B. D'Agostino,Daniel Levy,Albert M. Belanger,Halit Silbershatz,William B. Kannel +5 more
TL;DR: A simple coronary disease prediction algorithm was developed using categorical variables, which allows physicians to predict multivariate CHD risk in patients without overt CHD.
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General Cardiovascular Risk Profile for Use in Primary Care The Framingham Heart Study
Ralph B. D'Agostino,Ramachandran S. Vasan,Michael J. Pencina,Philip A. Wolf,Mark R. Cobain,Joseph M. Massaro,William B. Kannel +6 more
TL;DR: A sex-specific multivariable risk factor algorithm can be conveniently used to assess general CVD risk and risk of individual CVD events (coronary, cerebrovascular, and peripheral arterial disease and heart failure) and can be used to quantify risk and to guide preventive care.
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Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond
TL;DR: Two new measures, one based on integrated sensitivity and specificity and the other on reclassification tables, are introduced that offer incremental information over the AUC and are proposed to be considered in addition to the A UC when assessing the performance of newer biomarkers.
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The Female Sexual Function Index (FSFI): A Multidimensional Self-Report Instrument for the Assessment of Female Sexual Function
Raymond C. Rosen,Candace Brown,Julia R. Heiman,Sandra R. Leiblum,Cindy M. Meston,Ridwan Shabsigh,David Ferguson,Ralph B. D'Agostino +7 more
TL;DR: The results support the reliability and psychometric (as well as clinical) validity of the Female Sexual Function Index (FSFI) in the assessment of key dimensions of female sexual function in clinical and nonclinical samples and suggest important gender differences in the patterning of femaleSexual function in comparison with similar questionnaire studies in males.
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Propensity score methods for bias reduction in the comparison of a treatment to a non‐randomized control group
TL;DR: The propensity score, defined as the conditional probability of being treated given the covariates, can be used to balance the variance of covariates in the two groups, and therefore reduce bias as mentioned in this paper.