Smoothing spline analysis of variance models: A new tool for the analysis of cyclic biomechanical data

Cyclic biomechanical data are commonplace in orthopedic, rehabilitation, and sports research, where the goal is to understand and compare biomechanical differences between experimental conditions and/or subject populations. A common approach to analyzing cyclic biomechanical data involves averaging...

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Veröffentlicht in:	Journal of biomechanics Jg. 49; H. 14; S. 3216 - 3222
Hauptverfasser:	Helwig, Nathaniel E., Shorter, K. Alex, Ma, Ping, Hsiao-Wecksler, Elizabeth T.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Ltd 03.10.2016 Elsevier Limited
Schlagworte:	Analysis of Variance Ankle Biomechanical engineering Biomechanical Phenomena Biomechanics Confidence intervals Cyclic data Functional data analysis Gait analysis Humans Male Mathematical models Mechanical Phenomena Models, Statistical Physical Medicine and Rehabilitation Physiology Populations Smoothing Smoothing spline Splines Statistics as Topic - methods Studies Time series Variance analysis Young Adult Cyclic data Gait analysis Functional data analysis Smoothing spline
ISSN:	0021-9290, 1873-2380
Online-Zugang:	Volltext
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