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Patrick S. Parfrey

Researcher at Memorial University of Newfoundland

Publications -  17
Citations -  5628

Patrick S. Parfrey is an academic researcher from Memorial University of Newfoundland. The author has contributed to research in topics: Randomized controlled trial & Kidney disease. The author has an hindex of 5, co-authored 17 publications receiving 5277 citations. Previous affiliations of Patrick S. Parfrey include Health Sciences Centre.

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Journal ArticleDOI

Kidney disease as a risk factor for development of cardiovascular disease: a statement from the American Heart Association Councils on Kidney in Cardiovascular Disease, High Blood Pressure Research, Clinical Cardiology, and Epidemiology and Prevention.

TL;DR: There was a high prevalence of CVD in CKD and that mortality due to CVD was 10 to 30 times higher in dialysis patients than in the general population, and the task force recommended that patients with CKD be considered in the “highest risk group” for subsequent CVD events.
Journal ArticleDOI

Kidney Disease as a Risk Factor for Development of Cardiovascular Disease A Statement From the American Heart Association Councils on Kidney in Cardiovascular Disease, High Blood Pressure Research, Clinical Cardiology, and Epidemiology and Prevention

TL;DR: There was a high prevalence of CVD in CKD and that mortality due to CVD was 10 to 30 times higher in dialysis patients than in the general population, and the task force recommended that patients with CKD be considered in the “highest risk group” for subsequent CVD events.
Book ChapterDOI

On Framing the Research Question and Choosing the Appropriate Research Design

TL;DR: The goal of research design is to minimize error, ensure adequate samples, measure input and output variables appropriately, consider external and internal validities, limit bias, and address clinical as well as statistical relevance.
Book ChapterDOI

Modeling longitudinal data, II: standard regression models and extensions.

TL;DR: Extended models are necessary to handle complexities related to clustered data and repeated measurements of time-varying predictors or outcomes in longitudinal studies.