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a Research and Development Office, Northport Veterans Affairs Medical Center, 79 Middleville Rd (151), Northport, NY 11768
b Division of Cardiac Research, Department of Veterans Affairs and, Department of Biostatistics and Informatics, University of Colorado Denver, Box B-119, 4200 E 9th Ave, Denver, CO 80262
(Email: annie.shroyer@va.gov; gary.grunwald@ucdenver.edu).
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In this timely and clinically relevant article, MacKenzie and colleagues [1] have developed statistical models for predicting survival up to 8 years after coronary artery bypass graft (CABG) or percutaneous coronary intervention (PCI) based on 10 plus years (> 35,000 records) from the Northern New England Cardiovascular Disease Study Group (NNECDSG) database. They have quantified the major risk associations and made the resulting models and survival predictions available to investigators and clinicians.
MacKenzie and colleagues [1] elegantly applied sophisticated statistical methods to meet major analytical challenges, including time to event outcomes (Cox survival models), nonproportional hazards over long time periods (clever use of time partitions), nonlinearity of risk associations (splines), different associations of risk variables with postintervention survival at
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