title: Construction of multivariate centile charts for longitudinal measurements.
abstract: Reference centiles are commonly used as a means of identifying whether some measure of interest on an individual lies within a 'normal' range. Individuals outside the range may be at risk for some problem outcome. The information needed to screen for problem outcomes in often multivariate in nature. We develop a multivariate approach to centile estimation which allows for updating of centiles based on the prior path of the individuals as well as adjustments to the centiles according to individual covariate values. It is also possible to consider several variables jointly as a screen for problem outcomes.
authors.affiliation: Department of Statistical Sciences, University of Cape Town, Rondebosch, South Africa.
authors.forename: M L
authors.initials: ML
authors.lastname: Thompson
authors.forename: L P
authors.initials: LP
authors.lastname: Fatti
mesh_terms: D001827:Body Height; D001835:Body Weight; D005260:Female; D006801:Humans; D016013:Likelihood Functions; D008137:Longitudinal Studies; D008403:Mass Screening / Q000592:standards*; D015233:Models, Statistical; D015999:Multivariate Analysis; D010298:Parity; D011247:Pregnancy; D011295:Prenatal Care; D012016:Reference Values