A discussion of statistical methods to characterise early growth and its impact on bone mineral content later in childhood

Bibliographic Data

ID13921713
AuthorsSarah Crozier (0000-0002-9524-1127, MRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, Southampton, UK, corresponding author), William Johnson (0000-0002-0347-4354, Loughborough University), Tim J Cole (0000-0001-5711-8200, Population, Policy and Practice Programme, UCL Great Ormond Street Institute of Child Health, London, UK;), Corrie Macdonald‐Wallis (0000-0002-4447-3817, University of Bristol), Corrie Macdonald-Wallis (MRC Integrative Epidemiology Unit, Oakfield House, University of Bristol, Bristol, UK), Graciela Muniz-Terrera (0000-0002-4516-0337, University of Edinburgh), Hazel Inskip (0000-0001-8897-1749, MRC Lifecourse Epidemiology Unit, Southampton General Hospital, University of Southampton, Southampton, UK), K Tilling (0000-0002-1010-8926, University of Bristol)
Year2019
Volume46
Issue1
Pages17-26
Publication date2019-01-02
Open AccessYes
TypeARTICLE
VenueAnnals of Human Biology (JOURNAL)
Journal identifiersISSN: 0301-4460 • E-ISSN: 1464-5033
PublisherInforma (PUBLISHER • GB)
DOI10.1080/03014460.2019.1574896
PMID30719940
OpenAlexW2913206302
LanguageEN
Citations received1
References cited25

Similarities and differences in results from a variety of analytic strategies need to be understood in the context of each statistical methodology

Biology · Confounding · Context (archaeology · Generalized linear mixed model · Linear growth · Linear model · Mixed model · Multilevel model · Residual · Smoothing spline · Statistical model · Statistics · Birth, Development, and Health · Child Nutrition and Water Access · Mathematics · Pregnancy and preeclampsia studies

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