Literature DB >> 15316479

Appraising number and clinical significance of regression equations to predict unerupted canines and premolars.

Eduardo Bernabé1, Carlos Flores-Mir.   

Abstract

A sound statistical or clinical reason for proposing several single linear regression equations (SLRE) for predicting unerupted canine and premolar tooth-width sums is needed. The purpose of this study was to develop a methodology to evaluate the number and the clinical significance of SLRE required. A 6-step methodology is presented that permits evaluating the number and the clinical significance of SLRE required for predicting unerupted canine and premolar tooth-width sums. It is important not only to evaluate the statistical need for specific SLRE in different populations, but also to state the clinical significance of their differences against commonly used SLRE.

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Year:  2004        PMID: 15316479     DOI: 10.1016/j.ajodo.2004.03.021

Source DB:  PubMed          Journal:  Am J Orthod Dentofacial Orthop        ISSN: 0889-5406            Impact factor:   2.650


  3 in total

1.  Accuracy and evaluation of a new regression equation in predicting the width of unerupted permanent canines and premolar teeth.

Authors:  A Bhatnagar; A A Sinha; S Chaudhary; N Manuja; H Kaur; T R Chaitra
Journal:  Eur Arch Paediatr Dent       Date:  2017-01-21

2.  Prediction of the mesiodistal size of unerupted canines and premolars for a group of Romanian children: a comparative study.

Authors:  Cornel Gheorghe Boitor; Florin Stoica; Hamdan Nasser
Journal:  J Appl Oral Sci       Date:  2013       Impact factor: 2.698

3.  Proposed regression equations for prediction of the size of unerupted permanent canines and premolars in Yemeni sample.

Authors:  Fa Al-Kabab; Na Ghoname; Sm Banabilh
Journal:  J Orthod Sci       Date:  2014-07
  3 in total

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