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A Review of Published Analyses of Case-Cohort Studies and Recommendations for Future Reporting

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  • Stephen J Sharp
  • Manon Poulaliou
  • Simon G Thompson
  • Ian R White
  • Angela M Wood

Abstract

The case-cohort study design combines the advantages of a cohort study with the efficiency of a nested case-control study. However, unlike more standard observational study designs, there are currently no guidelines for reporting results from case-cohort studies. Our aim was to review recent practice in reporting these studies, and develop recommendations for the future. By searching papers published in 24 major medical and epidemiological journals between January 2010 and March 2013 using PubMed, Scopus and Web of Knowledge, we identified 32 papers reporting case-cohort studies. The median subcohort sampling fraction was 4.1% (interquartile range 3.7% to 9.1%). The papers varied in their approaches to describing the numbers of individuals in the original cohort and the subcohort, presenting descriptive data, and in the level of detail provided about the statistical methods used, so it was not always possible to be sure that appropriate analyses had been conducted. Based on the findings of our review, we make recommendations about reporting of the study design, subcohort definition, numbers of participants, descriptive information and statistical methods, which could be used alongside existing STROBE guidelines for reporting observational studies.

Suggested Citation

  • Stephen J Sharp & Manon Poulaliou & Simon G Thompson & Ian R White & Angela M Wood, 2014. "A Review of Published Analyses of Case-Cohort Studies and Recommendations for Future Reporting," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-6, June.
    • Handle: RePEc:plo:pone00:0101176
    DOI: 10.1371/journal.pone.0101176
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    References listed on IDEAS

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    1. Vincenzo Coviello, 2001. "Ordinary case-cohort design and analysis," Stata Technical Bulletin, StataCorp LP, vol. 10(59).
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    Cited by:

    1. Lola Etievant & Mitchell H. Gail, 2024. "Cox model inference for relative hazard and pure risk from stratified weight-calibrated case-cohort data," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 30(3), pages 572-599, July.

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