title: Statistical tools for clinical gait analysis.
abstract: Gait analysis studies involve continuous curves of data measured over a gait cycle. Curve analysis and interpretation require adequate statistical methods. Three principal problems may be encountered in clinical practice: (i) the reliability of gait curves for a given patient, (ii) classifying a new subject as belonging to a given population or not and (iii) comparison of two populations (independent or paired). This paper presents three statistical tools for solving these problems: (i) intra-class correlation coefficients, (ii) confidence bands for a population (iii) a combination of analysis of variance and confidence bands for the difference between the means and shows how they can be used in clinical practice.
authors.affiliation: Department of Biostatistics, EA2694, CERIM, Faculté de Médecine, University of Lille, 1 place de Verdun, 59045 Lille, France. a-duhamel@univ-lille2.fr
authors.forename: A
authors.initials: A
authors.lastname: Duhamel
authors.forename: J L
authors.initials: JL
authors.lastname: Bourriez
authors.forename: P
authors.initials: P
authors.lastname: Devos
authors.forename: P
authors.initials: P
authors.lastname: Krystkowiak
authors.forename: A
authors.initials: A
authors.lastname: Destée
authors.forename: P
authors.initials: P
authors.lastname: Derambure
authors.forename: L
authors.initials: L
authors.lastname: Defebvre
mesh_terms: D000328:Adult; D005684:Gait / Q000502:physiology*; D006801:Humans; D008875:Middle Aged; D013223:Statistics as Topic