Journal article icon

Journal article

Bayesian networks analysis of malocclusion data

Abstract:

In this paper we use Bayesian networks to determine and visualise the interactions among various Class III malocclusion maxillofacial features during growth and treatment. We start from a sample of 143 patients characterised through a series of a maximum of 21 different craniofacial features. We estimate a network model from these data and we test its consistency by verifying some commonly accepted hypotheses on the evolution of these disharmonies by means of Bayesian statistics. We show that...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author
More from this funder
Name:
European Union
Grant:
317532
Publisher:
Nature Publishing Group
Journal:
Scientific Reports More from this journal
Volume:
7
Pages:
15236
Publication date:
2017-11-01
Acceptance date:
2017-05-22
DOI:
EISSN:
2045-2322
ISSN:
2045-2322
Keywords:
Subjects:
Pubs id:
pubs:696718
UUID:
uuid:8c571494-126b-424d-9953-654491a565f8
Local pid:
pubs:696718
Source identifiers:
696718
Deposit date:
2017-05-23

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP