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ABSTRACT: Background
Controlling for maturational status and timing is crucial in lifecourse epidemiology. One popular non-invasive measure of maturity is the age at peak height velocity (PHV). There are several ways to estimate age at PHV, but it is unclear which of these to use in practice.Aim
To find the optimal approach for estimating age at PHV.Subjects and methods
Methods included the Preece & Baines non-linear growth model, multi-level models with fractional polynomials, SuperImposition by Translation And Rotation (SITAR) and functional data analysis. These were compared through a simulation study and using data from a large cohort of adolescent boys from the Christ's Hospital School.Results
The SITAR model gave close to unbiased estimates of age at PHV, but co
SUBMITTER: Simpkin AJ
PROVIDER: S-EPMC5743008 | biostudies-literature | 2017 Dec
REPOSITORIES: biostudies-literature