Clinical predictors of maxillary canine impaction: a novel approach using multivariate analysis | Zendy

Pamela Uribe | Zendy; Maria Ransjö | Zendy; Anna Westerlund | Zendy

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Clinical predictors of maxillary canine impaction: a novel approach using multivariate analysis

Author(s) -

Pamela Uribe,

Maria Ransjö,

Anna Westerlund

Publication year - 2016

Publication title -

european journal of orthodontics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.252

H-Index - 84

eISSN - 1460-2210

pISSN - 0141-5387

DOI - 10.1093/ejo/cjw042

Subject(s) - maxillary canine , impaction , multivariate analysis , multivariate statistics , medicine , maxilla , dentistry , orthodontics , mathematics , statistics

Ectopic eruption and/or impaction of maxillary permanent canines is a frequent problem in clinical dentistry. Previous studies aimed to identify potential associated factors and predictors for impacted maxillary canines have only used conventional univariate statistics, which does not allow the analysis of the interaction between and within variables. Multivariate data analysis (MVDA) is a better and more powerful tool for the integration and interpretation of complex datasets.

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