Ralph B. D'Agostino
Wake Forest University
1341 Papers
8K Citations
Ralph B. D'Agostino is an academic researcher from Wake Forest University. The author has contributed to research in topics: Medicine & Framingham Heart Study. The author has an hindex of 226, co-authored 1287 publications. Previous affiliations of Ralph B. D'Agostino include VA Boston Healthcare System & University of Illinois at Urbana–Champaign.
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Papers
Estimating incidence of type 1 and type 2 diabetes using prevalence data: the SEARCH for Diabetes in Youth study
Annika Hoyer,Ralph Brinks,Thaddäus Tönnies,Sharon Saydah,Ralph B. D'Agostino,Jasmin Divers,Scott Isom,Dana Dabelea,Jean M. Lawrence,Elizabeth J. Mayer-Davis,Catherine Pihoker,Lawrence M. Dolan,Giuseppina Imperatore +12 more
TL;DR: In this article , a PDE was applied to estimate the average incidence rates of type 1 and type 2 diabetes for the period between 2001 and 2009 in the SEARCH for Diabetes in Youth study.
How ready are colleges for an environmental approach that utilizes campus/community coalitions?
Mary Claire O'Brien,Heather L. O. Champion,Ralph B. D'Agostino,Barbara Alvarez Martin,Thomas P. McCoy,Mark Wolfson,Robert H. DuRant +6 more
TL;DR: Having an alcohol task force or coalition was associated with participation by the president and/or community representative on the task force, having extramural funding to address high-risk drinking, training in environmental management, implementation of changes after the training, plans for future training, school size, Greek organizations on campus, and being a state university.
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Quantitative impact of remnant lipoproteins on risk for hard chd events: a meta-analysis of the framingham offspring and jackson heart studies
Peter P. Toth,Joseph M. Massaro,Steven Jones,Seth T. Lirette,Michael Griswold,Seth S. Martin,Parag H. Joshi,Ralph B. D'Agostino +7 more
TL;DR: Remnant lipoproteins are an important emerging risk factor for coronary heart disease (CHD) and can be elevated if there is impaired triglyceride lipolysis, as observed in patients with metabolic syndrome and diabetes.
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Longitudinal models for analysis of respiratory function
TL;DR: The results of fitting three longitudinal models, two autoregressive models and a compound symmetry model to data on a cohort of 1154 adult men in Boston show that the damped autore progressive model provided a significantly better fit than either of the other two models.
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Discussion of: Statistical and Regulatory Issues with the Application of Propensity Score Analysis to Nonrandomized Medical Device Clinical Studies
TL;DR: This discussion will discuss the implications of having nonoverlapping covariate (or propensity score) distributions between treatment groups, some additional issues to consider when covariates included in the propensity score model have missing data, and the possibility of using propensity score approaches even in randomized clinical trials.
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