Using partial least squares regression as a predictive tool in describing equine third metacarpal bone shape

Helen Liley; Ju Zhang; Elwyn Firth; Justin Fernandez; Thor Besier

doi:10.1080/10255842.2017.1393806

Using partial least squares regression as a predictive tool in describing equine third metacarpal bone shape

Comput Methods Biomech Biomed Engin. 2017 Nov;20(15):1609-1612. doi: 10.1080/10255842.2017.1393806. Epub 2017 Oct 26.

Authors

Helen Liley¹, Ju Zhang¹, Elwyn Firth^{1

2}, Justin Fernandez^{1

3}, Thor Besier^{1

3}

Affiliations

¹ a Auckland Bioengineering Insititute, University of Auckland , Auckland , New Zealand.
² b Department of Exercise Sciences , University of Auckland , Auckland , New Zealand.
³ c Department of Engineering Science , Auckland Bioengineering Insititute, University of Auckland , Auckland , New Zealand.

PMID: 29072962
DOI: 10.1080/10255842.2017.1393806

Abstract

Population variance in bone shape is an important consideration when applying the results of subject-specific computational models to a population. In this letter, we demonstrate the ability of partial least squares regression to provide an improved shape prediction of the equine third metacarpal epiphysis, using two easily obtained measurements.

Keywords: Equine; fetlock joint; partial least squares regression; statistical modeling.

MeSH terms

Animals
Horses / anatomy & histology*
Image Processing, Computer-Assisted
Least-Squares Analysis
Metacarpal Bones / anatomy & histology*
Models, Anatomic