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RF32 Identifying an intervention differential effect within heteroscedastic longitudinal data – an example using childhood growth
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Authors

  • R Briscoe 1Leeds Institute for Data Analytics, University of Leeds, Leeds, UK 2School of Medicine, University of Leeds, Leeds, UK 3Leeds Teaching Hospitals Trust, Leeds, UK PubMed articlesGoogle scholar articles
  • L Beggs 1Leeds Institute for Data Analytics, University of Leeds, Leeds, UK 2School of Medicine, University of Leeds, Leeds, UK 4National Institute for Health and Care Excellence, Manchester, UK PubMed articlesGoogle scholar articles
  • C Griffiths 1Leeds Institute for Data Analytics, University of Leeds, Leeds, UK 5Sports Science, Leeds Beckett University, Leeds, UK PubMed articlesGoogle scholar articles
  • GTH Ellison 1Leeds Institute for Data Analytics, University of Leeds, Leeds, UK 2School of Medicine, University of Leeds, Leeds, UK PubMed articlesGoogle scholar articles
  • MS Gilthorpe 1Leeds Institute for Data Analytics, University of Leeds, Leeds, UK 2School of Medicine, University of Leeds, Leeds, UK PubMed articlesGoogle scholar articles

Citation

Briscoe R, Beggs L, Griffiths C, et al
RF32 Identifying an intervention differential effect within heteroscedastic longitudinal data – an example using childhood growth

Publication history

  • First published September 5, 2018.
Online issue publication 
May 13, 2022

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