Statistical tools for clinical gait analysis

被引:84
作者
Duhamel, A
Bourriez, JL
Devos, P
Krystkowiak, P
Destée, A
Derambure, P
Defebvre, L
机构
[1] Univ Lille, Dept Biostat, Fac Med, CERIM, F-59045 Lille, France
[2] Univ Lille, Ctr Med, Dept Clin Neurophysiol, R Salengro Hosp, F-59037 Lille, France
[3] Univ Lille, Ctr Med, Dept Movement Disorders, R Salengro Hosp, F-59037 Lille, France
关键词
gait analysis; reliability; confidence band; bootstrap prediction;
D O I
10.1016/j.gaitpost.2003.09.010
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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. (C) 2003 Published by Elsevier B.V.
引用
收藏
页码:204 / 212
页数:9
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