K
Kerry L. Lee
Researcher at Duke University
Publications - 471
Citations - 89506
Kerry L. Lee is an academic researcher from Duke University. The author has contributed to research in topics: Coronary artery disease & Myocardial infarction. The author has an hindex of 126, co-authored 466 publications receiving 81906 citations. Previous affiliations of Kerry L. Lee include Washington University in St. Louis & United States Department of Veterans Affairs.
Papers
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Journal ArticleDOI
Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors
TL;DR: In this article, an easily interpretable index of predictive discrimination as well as methods for assessing calibration of predicted survival probabilities are discussed, which are particularly needed for binary, ordinal, and time-to-event outcomes.
Journal ArticleDOI
Amiodarone or an implantable cardioverter-defibrillator for congestive Heart failure
Gust H. Bardy,Kerry L. Lee,Daniel B. Mark,Jeanne E. Poole,Douglas L. Packer,Robin Boineau,Michael J. Domanski,Charles Troutman,Jill Anderson,Steven McNulty,Nancy E. Clapp-Channing,Linda Davidson-Ray,Elizabeth S. Fraulo,Daniel P. Fishbein,Richard M. Luceri,John Ip +15 more
TL;DR: In patients with NYHA class II or III CHF and LVEF of 35 percent or less, amiodarone has no favorable effect on survival, whereas single-lead, shock-only ICD therapy reduces overall mortality by 23 percent.
Book ChapterDOI
Prognostic/Clinical Prediction Models: Multivariable Prognostic Models: Issues in Developing Models, Evaluating Assumptions and Adequacy, and Measuring and Reducing Errors
TL;DR: An easily interpretable index of predictive discrimination as well as methods for assessing calibration of predicted survival probabilities are discussed, applicable to all regression models, but are particularly needed for binary, ordinal, and time-to-event outcomes.
Tutorial in biostatistics multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors
Kerry L. Lee,Daniel B. Mark +1 more
TL;DR: An easily interpretable index of predictive discrimination as well as methods for assessing calibration of predicted survival probabilities are discussed, which are applicable to all regression models, but are particularly needed for binary, ordinal, and time-to-event outcomes.
Journal ArticleDOI
Evaluating the yield of medical tests
TL;DR: The treadmill exercise test is shown to provide surprisingly little prognostic information beyond that obtained from basic clinical measurements.