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ID 116467
Title Alternative
Causal relations of health indices inferred statistically using the DirectLiNGAM
Author
Kotoku, Jun’ichi Teikyo University|Osaka University
Oyama, Asuka Teikyo University
Kitazumi, Kanako Teikyo University
Toki, Hiroshi Osaka University
Yamamoto, Ryohei Osaka University
Shinzawa, Maki Osaka University
Yamakawa, Miyae Osaka University
Fukui, Sakiko Osaka University
Yamamoto, Keiichi Osaka University|Wakayama Medical University
Moriyama, Toshiki Osaka University
Content Type
Journal Article
Description
Causal relations among many statistical variables have been assessed using a Linear non-Gaussian Acyclic Model (LiNGAM). Using access to large amounts of health checkup data from Osaka prefecture obtained during the six fiscal years of years 2012–2017, we applied the DirectLiNGAM algorithm as a trial to extract causal relations among health indices for age groups and genders. Results show that LiNGAM yields interesting and reasonable results, suggesting causal relations and correlation among the statistical indices used for these analyses.
Journal Title
PLOS ONE
ISSN
19326203
Publisher
PLOS
Volume
15
Issue
12
Start Page
e0243229
Published Date
2020-12-23
Rights
This is an open access article distributed under the terms of the Creative Commons Attribution License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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DOI (Published Version)
URL ( Publisher's Version )
FullText File
language
eng
TextVersion
Publisher
departments
Medical Sciences