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Statistical Methods for Cohort Studies of CKD: Survival Analysis in the Setting of Competing Risks

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 and Harold I. Feldman; on behalf of the Chronic Renal Insufficiency Cohort (CRIC) Study Investigators
CJASN July 2017, 12 (7) 1181-1189; DOI: https://doi.org/10.2215/CJN.10301016
Jesse Yenchih Hsu
*Department of Biostatistics and Epidemiology and
†Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania;
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Jason A. Roy
*Department of Biostatistics and Epidemiology and
†Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania;
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Dawei Xie
*Department of Biostatistics and Epidemiology and
†Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania;
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Wei Yang
*Department of Biostatistics and Epidemiology and
†Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania;
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Haochang Shou
*Department of Biostatistics and Epidemiology and
†Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania;
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Amanda Hyre Anderson
*Department of Biostatistics and Epidemiology and
†Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania;
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J. Richard Landis
*Department of Biostatistics and Epidemiology and
†Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania;
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Christopher Jepson
*Department of Biostatistics and Epidemiology and
†Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania;
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Myles Wolf
‡Department of Medicine, School of Medicine, Duke University, Durham, North Carolina;
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Tamara Isakova
§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
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Mahboob Rahman
¶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
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Harold I. Feldman
*Department of Biostatistics and Epidemiology and
†Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania;
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Article Information

vol. 12 no. 7 1181-1189
DOI 
https://doi.org/10.2215/CJN.10301016
PubMed 
28242844

Published By 
American Society of Nephrology
Print ISSN 
1555-9041
Online ISSN 
1555-905X
History 
  • Published online July 7, 2017.

Article Versions

  • Earlier version (February 27, 2017 - 07:22).
  • You are viewing the most recent version of this article.
Copyright & Usage 
Copyright © 2017 by the American Society of Nephrology

Author Information

  1. Jesse Yenchih Hsu*,†,
  2. Jason A. Roy*,†,
  3. Dawei Xie*,†,
  4. Wei Yang*,†,
  5. Haochang Shou*,†,
  6. Amanda Hyre Anderson*,†,
  7. J. Richard Landis*,†,
  8. Christopher Jepson*,†,
  9. Myles Wolf‡,
  10. Tamara Isakova§,‖,
  11. Mahboob Rahman¶,**,††,
  12. Harold I. Feldman*,†
  13. on behalf of the Chronic Renal Insufficiency Cohort (CRIC) Study Investigators
  1. *Department of Biostatistics and Epidemiology and
  2. †Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania;
  3. ‡Department of Medicine, School of Medicine, Duke University, Durham, North Carolina;
  4. §Division of Nephrology and Hypertension, Department of Medicine, Northwestern University, Chicago, Illinois;
  5. ‖Center for Translational Metabolism and Health, Northwestern University Feinberg School of Medicine, Chicago, Illinois; and
  6. ¶Division of Nephrology and Hypertension, Case Western Reserve University, Cleveland, Ohio;
  7. **University Hospitals Cleveland Medical Center, Cleveland, Ohio; and
  8. ††Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, Ohio
  1. 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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Clinical Journal of the American Society of Nephrology: 12 (7)
Clinical Journal of the American Society of Nephrology
Vol. 12, Issue 7
July 07, 2017
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Statistical Methods for Cohort Studies of CKD: Survival Analysis in the Setting of Competing Risks
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
CJASN Jul 2017, 12 (7) 1181-1189; DOI: 10.2215/CJN.10301016

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Statistical Methods for Cohort Studies of CKD: Survival Analysis in the Setting of Competing Risks
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
CJASN Jul 2017, 12 (7) 1181-1189; DOI: 10.2215/CJN.10301016
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  • Article
    • 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
    • Discussion
    • Disclosures
    • Acknowledgments
    • Footnotes
    • References
  • Figures & Data Supps
  • Info & Metrics
  • View PDF

More in this TOC Section

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  • Health Policy for Dialysis Care in Canada and the United States
  • Preprint Servers in Kidney Disease Research
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Keywords

  • Cumulative incidence function
  • Cause-specific
  • Cox proportional hazards models
  • FGF-23
  • cardiovascular diseases
  • Fibroblast Growth Factors
  • Follow-Up Studies
  • kidney failure
  • chronic
  • Proportional Hazards Models
  • renal insufficiency
  • Risk
  • Survival Analysis
  • fibroblast growth factor 23

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