title: A new proposed regression equation for mixed dentition analysis using the sum of permanent mandibular four incisors and first molar as a predictor of width of unerupted canine and premolars in a sample of North Indian population.
abstract: OBJECTIVE
  The objective of this study was to establish a new regression equation for North Indian and to compare and correlate the predicted width of unerupted canine and premolars obtained from the proposed regression equation of the present study in the North Indian population sample, Moyer's prediction table and also from Melgaco regression equation with the actual width; in order to check the applicability of various methods of mixed dentition analysis for the North Indian population.
  
  
  METHODS
  The sample consisted of 200 dental casts obtained from the North Indian patients and students which consists of 100 males and 100 females with the average age of 20.12 ± 4.70 years for males and 19.54 ± 3.16 years for females. Mesiodistal tooth widths of mandibular arch from permanent right first molar to left first molar were measured with an electronic digital caliper. Student t-test was used for comparison and Pearson's correlation coefficient was used to correlate the actual sum and the predicted width of the permanent mandibular canines and premolars obtained from various methods.
  
  
  RESULTS
  The difference between the actual and predicted width was statistically insignificant using the regression equation obtained for the North Indian sample population (correlation r = 0.78) in contrast to the significant difference with predicted width obtained from Melgaco equation (r = 0.61) and Moyer's prediction table (r = 0.42).
  
  
  CONCLUSIONS
  A new proposed regression equation for the North Indian population was established. Amongst the three regression equations devised, the proposed regression equation formulated in the present study; gave the most accurate results confirming racial variation in tooth size. This method is considered as an easy and practical way to predict the size of unerupted canines and premolars.
authors.affiliation: Department of Orthodontics and Dentofacial Orthopaedics, BBDCODS, Lucknow, Uttar Pradesh, India.
authors.forename: Tripti
authors.initials: T
authors.lastname: Tikku
authors.affiliation: Department of Orthodontics and Dentofacial Orthopaedics, BBDCODS, Lucknow, Uttar Pradesh, India.
authors.forename: Rohit
authors.initials: R
authors.lastname: Khanna
authors.affiliation: Department of Orthodontics and Dentofacial Orthopaedics, BBDCODS, Lucknow, Uttar Pradesh, India.
authors.forename: Kiran
authors.initials: K
authors.lastname: Sachan
authors.affiliation: Department of Orthodontics and Dentofacial Orthopaedics, BBDCODS, Lucknow, Uttar Pradesh, India.
authors.forename: Akhil
authors.initials: A
authors.lastname: Agarwal
authors.affiliation: Department of Orthodontics and Dentofacial Orthopaedics, BBDCODS, Lucknow, Uttar Pradesh, India.
authors.forename: Kamna
authors.initials: K
authors.lastname: Srivastava
authors.affiliation: Department of Orthodontics and Dentofacial Orthopaedics, BBDCODS, Lucknow, Uttar Pradesh, India.
authors.forename: Pravesh
authors.initials: P
authors.lastname: Yadav
keywords: Mixed dentition analysis; prediction; regression equation; unerupted canine and premolars