title: Streamlined variance calculations for semiparametric mixed models.
abstract: Semiparametric mixed model analysis benefits from variability estimates such as standard errors of effect estimates and variability bars to accompany curve estimates. We show how the underlying variance calculations can be done extremely efficiently compared with the direct naïve approach. These streamlined calculations are linear in the number of subjects, representing a two orders of magnitude improvement.
authors.affiliation: School of Mathematics and Statistics, University of New South Wales, Sydney 2052, NSW, Australia. andrew.smith@europe.com
authors.forename: Andrew D A C
authors.initials: AD
authors.lastname: Smith
authors.forename: M P
authors.initials: MP
authors.lastname: Wand
mesh_terms: D000465:Algorithms; D015519:Bone Density / Q000502:physiology*; D006801:Humans; D016014:Linear Models; D015233:Models, Statistical; D009517:New South Wales; D013131:Spine