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Title: Design and analysis of nested case–control studies for recurrent events subject to a terminal event

Abstract

Not provided.

Authors:
ORCiD logo [1];  [1];  [2];  [3];  [4]
  1. Department of BiostatisticsHarvard T.H. Chan School of Public Health Boston Massachusetts
  2. Department of StatisticsRadiation Effects Research Foundation Hiroshima Japan
  3. Department of BiopathologyInstitut Bergonié Bordeaux France
  4. Centre de recherche INSERM U1219Université de Bordeaux–ISPED Bordeaux France
Publication Date:
Research Org.:
National Academy of Sciences, Washington, DC (United States)
Sponsoring Org.:
USDOE Office of Environment, Health, Safety and Security (AU)
OSTI Identifier:
1613761
DOE Contract Number:  
HS0000031
Resource Type:
Journal Article
Journal Name:
Statistics in Medicine
Additional Journal Information:
Journal Volume: 38; Journal Issue: 22; Journal ID: ISSN 0277-6715
Publisher:
Wiley
Country of Publication:
United States
Language:
English
Subject:
Mathematical & Computational Biology; Public, Environmental & Occupational Health; Medical Informatics; Research & Experimental Medicine; Mathematics

Citation Formats

Jazić, Ina, Haneuse, Sebastien, French, Benjamin, MacGrogan, Gaëtan, and Rondeau, Virginie. Design and analysis of nested case–control studies for recurrent events subject to a terminal event. United States: N. p., 2019. Web. doi:10.1002/sim.8302.
Jazić, Ina, Haneuse, Sebastien, French, Benjamin, MacGrogan, Gaëtan, & Rondeau, Virginie. Design and analysis of nested case–control studies for recurrent events subject to a terminal event. United States. https://doi.org/10.1002/sim.8302
Jazić, Ina, Haneuse, Sebastien, French, Benjamin, MacGrogan, Gaëtan, and Rondeau, Virginie. 2019. "Design and analysis of nested case–control studies for recurrent events subject to a terminal event". United States. https://doi.org/10.1002/sim.8302.
@article{osti_1613761,
title = {Design and analysis of nested case–control studies for recurrent events subject to a terminal event},
author = {Jazić, Ina and Haneuse, Sebastien and French, Benjamin and MacGrogan, Gaëtan and Rondeau, Virginie},
abstractNote = {Not provided.},
doi = {10.1002/sim.8302},
url = {https://www.osti.gov/biblio/1613761}, journal = {Statistics in Medicine},
issn = {0277-6715},
number = 22,
volume = 38,
place = {United States},
year = {2019},
month = {7}
}

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