Statistical methods of constructing growth charts

Irwin, Elizabeth Rose (2014) Statistical methods of constructing growth charts. MSc(R) thesis, University of Glasgow.

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Abstract

People are interested in monitoring growth in many fields. Growth charts provide an approach for doing this, illustrating how the distribution of a growth measurement changes according to some time covariate, for a particular population. The general form of a growth chart is a series of smooth centile curves showing how selected centiles of the growth measurement change when plotted against the time covariate. These curves are based on a representative sample from a reference population. Different modelling approaches are available for producing such growth charts, including the LMS method and quantile regression approaches. These approaches are explored in this thesis using data from the Growth and Development Study data, which allows construction of gender-specific weight growth charts for full-term infants.

Item Type: Thesis (MSc(R))
Qualification Level: Masters
Keywords: growth charts statistical methods LMS quantile regression
Subjects: Q Science > QA Mathematics
Colleges/Schools: College of Science and Engineering > School of Mathematics and Statistics
Funder's Name: UNSPECIFIED
Supervisor's Name: Neocleous, Dr. Tereza
Date of Award: 2014
Depositing User: Miss Elizabeth Rose Irwin
Unique ID: glathesis:2014-5293
Copyright: Copyright of this thesis is held by the author.
Date Deposited: 11 Jul 2014 14:16
Last Modified: 11 Jul 2014 14:16
URI: http://theses.gla.ac.uk/id/eprint/5293

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