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Cause-specific mortality by partnership status: simultaneous analysis using longitudinal data from England and Wales
  1. Sebastian Franke1,2,
  2. Hill Kulu3
  1. 1 Department of Geography and Planning, School of Environmental Sciences, University of Liverpool, Liverpool, UK
  2. 2 Health Services Management, Ludwig-Maximilians-Universität München, Munich, Germany
  3. 3 School of Geography and Sustainable Development, University of St Andrews, St Andrews, UK
  1. Correspondence to Dr Hill Kulu, School of Geography and Sustainable Development, University of St Andrews, St Andrews KY16 9AL, UK; Hill.Kulu{at}st-andrews.ac.uk

Footnotes

  • Contributors SF was the lead author for this paper, coauthored by HK. SF and HK both conceptualised and designed the study. SF planned the study, conducted data set-up and analysed and wrote the paper. HK significantly revised the draft manuscript.

  • Funding SF’s research was supported by the Economic and Social Research Council (ES/J500094/1) through the North West Doctoral Training Centre Social Statistics pathway (PhD project: ‘Health, Mortality and Partnership Status: Protection or Selection’). He also held an Advanced Quantitative Methods (AQM) enhanced stipend.

  • Disclaimer The authors alone are responsible for the interpretation of the data. This work contains statistical data from ONS, which is Crown Copyright. The use of the ONS statistical data in this work does not imply the endorsement of the ONS in relation to the interpretation or analysis of the statistical data. This work uses research datasets that may not exactly reproduce National Statistics aggregates.

  • Competing interests None declared.

  • Patient consent Not required.

  • Provenance and peer review Not commissioned; externally peer reviewed.

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Footnotes

  • Contributors SF was the lead author for this paper, coauthored by HK. SF and HK both conceptualised and designed the study. SF planned the study, conducted data set-up and analysed and wrote the paper. HK significantly revised the draft manuscript.

  • Funding SF’s research was supported by the Economic and Social Research Council (ES/J500094/1) through the North West Doctoral Training Centre Social Statistics pathway (PhD project: ‘Health, Mortality and Partnership Status: Protection or Selection’). He also held an Advanced Quantitative Methods (AQM) enhanced stipend.

  • Disclaimer The authors alone are responsible for the interpretation of the data. This work contains statistical data from ONS, which is Crown Copyright. The use of the ONS statistical data in this work does not imply the endorsement of the ONS in relation to the interpretation or analysis of the statistical data. This work uses research datasets that may not exactly reproduce National Statistics aggregates.

  • Competing interests None declared.

  • Patient consent Not required.

  • Provenance and peer review Not commissioned; externally peer reviewed.

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