Principal component analysis in the evaluation of osteoarthritis
Abstract
PCA is a simple, non-parametric method of extracting relevant information from complex OA datasets and summarizes variation based on correlated multi-attributes to reveal a simplified structure of OA expression. Multivariate techniques like PCA should be used to describe discrete OA samples, and are …
Keywords
National Center for Biotechnology Information
NCBI
NLM
MEDLINE
humans
pubmed abstract
nih
national institutes of health
national library of medicine
adult
female
male
adolescent
aged
middle aged
young adult
80 and over
multivariate analysis
anthropology
pmid:27896800
doi:10.1002/ajpa.23130
stephanie e calce
helen k kurki
lisa gould
physical
lumbar vertebrae / pathology
osteoarthritis / diagnosis*
osteoarthritis / pathology*
principal component analysis / methods*
sacrum / pathology
tibia / pathology
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274523
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