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- Published online July 7, 2017.
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- Earlier version (February 27, 2017 - 07:22).
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Copyright © 2017 by the American Society of Nephrology
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- Jesse Yenchih Hsu*,†,
- Jason A. Roy*,†,
- Dawei Xie*,†,
- Wei Yang*,†,
- Haochang Shou*,†,
- Amanda Hyre Anderson*,†,
- J. Richard Landis*,†,
- Christopher Jepson*,†,
- Myles Wolf‡,
- Tamara Isakova§,‖,
- Mahboob Rahman¶,**,††,
- Harold I. Feldman*,†
- on behalf of the Chronic Renal Insufficiency Cohort (CRIC) Study Investigators
- *Department of Biostatistics and Epidemiology and
- †Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania;
- ‡Department of Medicine, School of Medicine, Duke University, Durham, North Carolina;
- §Division of Nephrology and Hypertension, Department of Medicine, Northwestern University, Chicago, Illinois;
- ‖Center for Translational Metabolism and Health, Northwestern University Feinberg School of Medicine, Chicago, Illinois; and
- ¶Division of Nephrology and Hypertension, Case Western Reserve University, Cleveland, Ohio;
- **University Hospitals Cleveland Medical Center, Cleveland, Ohio; and
- ††Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, Ohio
- Correspondence:
Dr. Jesse Y. Hsu, Department of Biostatistics and Epidemiology and Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, 618 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104. Email: hsu9{at}upenn.edu
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Statistical Methods for Cohort Studies of CKD: Survival Analysis in the Setting of Competing Risks
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- Abstract
- Introduction
- Motivating Example: Is Fibroblast Growth Factor 23 Associated with Time to ESRD?
- Introduction to Classic Survival Analysis for a Single Event
- Independent Censoring and Competing Events
- Analytical Strategies and Key Assumptions in the Presence of a Competing Event
- A Motivating Example in the Presence of Competing and Independent Censoring Events
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