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

Background Many statistical methods are available to model longitudinal growth data and relate derived summary measures to later outcomes. Aim To apply and compare commonly used methods to a realistic scenario including pre- and postnatal data, missing data and confounders. Subjects and methods Data...

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Bibliographic Details
Main Authors: Sarah Crozier, Will Johnson, Tim J. Cole, Corrie Macdonald-Wallis, Graciela Muniz-Terrera, Hazel Inskip, Kate Tilling
Format: Default Article
Published: 2019
Subjects:
Other health sciences not elsewhere classified
Growth mixture models
Lifecourse epidemiology
Linear spline models
Multilevel models
SITAR
Medical and Health Sciences not elsewhere classified
Online Access:https://hdl.handle.net/2134/36608
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https://hdl.handle.net/2134/36608

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