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Risk Assessment and Evaluation of Predictions pp 301–313Cite as

Competing Risks Models and Breast Cancer: A Brief Review

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Part of the book series: Lecture Notes in Statistics ((LNSP,volume 215))

Abstract

In this paper, we present a brief overview of the methods which are commonly used for statistical analysis of data in competing risks settings. Moreover, we review 37 recent published clinical papers on breast cancer which consider an event of interest, such as breast cancer incident, while they also take into account the competing events, such as death due to other causes. The papers are selected based on the number of citations and publication year.

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Acknowledgements

We acknowledge the Natural Sciences and Engineering Research Council of Canada and the Canadian Institutes of Health Research for their financial support.

Author information

Authors and Affiliations

  1. Reliability, Risk and Maintenance Research Laboratory (RRMR), Department of Mechanical and Industrial Engineering, Ryerson University, Toronto, ON, M5B 2K3, Canada

    Sharareh Taghipour

  2. Centre for Maintenance Optimization and Reliability Engineering (C-MORE), Department of Mechanical & Industrial Engineering , University of Toronto, Toronto, ON, M5S 3G8, Canada

    Dragan Banjevic

  3. Dalla Lana School of Public Health, Health Science Building, 155 College Street, Toronto, ON, M5T 3M7, Canada

    Anthony Miller & Bart Harvey

Authors
  1. Sharareh Taghipour
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  2. Dragan Banjevic
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  3. Anthony Miller
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  4. Bart Harvey
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Corresponding author

Correspondence to Sharareh Taghipour .

Editor information

Editors and Affiliations

  1. University of Maryland, College Park, Maryland, USA

    Mei-Ling Ting Lee

  2. National Cancer Institute Div. Cancer Epidemiology & Genetics, Bethesda, Maryland, USA

    Mitchell Gail

  3. National Cancer Institute, Bethesda, Maryland, USA

    Ruth Pfeiffer

  4. Centers for Disease Control and Prevention, Atlanta, Georgia, USA

    Glen Satten

  5. Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA

    Tianxi Cai

  6. Department of Mathematics, Imperial College London, London, United Kingdom

    Axel Gandy

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Taghipour, S., Banjevic, D., Miller, A., Harvey, B. (2013). Competing Risks Models and Breast Cancer: A Brief Review. In: Lee, ML., Gail, M., Pfeiffer, R., Satten, G., Cai, T., Gandy, A. (eds) Risk Assessment and Evaluation of Predictions. Lecture Notes in Statistics, vol 215. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8981-8_14

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