Citas bibligráficas
Ramos, P., (2010). Ecuación de regresión lineal para la predicción de la suma de los tamaños coronales mesiodistales de caninos y premolares en una muestra de escolares de Lima Metropolitana [Universidad Peruana Cayetano Heredia]. https://hdl.handle.net/20.500.12866/11587
Ramos, P., Ecuación de regresión lineal para la predicción de la suma de los tamaños coronales mesiodistales de caninos y premolares en una muestra de escolares de Lima Metropolitana []. PE: Universidad Peruana Cayetano Heredia; 2010. https://hdl.handle.net/20.500.12866/11587
@mastersthesis{renati/910239,
title = "Ecuación de regresión lineal para la predicción de la suma de los tamaños coronales mesiodistales de caninos y premolares en una muestra de escolares de Lima Metropolitana",
author = "Ramos Sánchez, Pablo César",
publisher = "Universidad Peruana Cayetano Heredia",
year = "2010"
}
Have been reported in recent years that the analysis of Moyers and Tanaka-Johnston are not very effective to predict the sum of the mesiodistal widths of unerupted canines and premolars when performed in populations of different ethnic groups in which they were created. Both tests conventionally used for mixed dentition orthodontic diagnosis were performed in Caucasian populations. This study takes a sample of 400 schoolchildren in metropolitan Lima to create a mixed dentition analysis based on a Peruvian population. It creates four prediction equations for both men and women and establishes the differences obtained between the values predicted by the new equations with those with the canines and premolars per quadrant. It also establishes the difference in milimeters between the actual values predicted by the analysis of Moyers and the values predicted by the Tanaka-Johnston analysis. By comparing the differences between the three tests, we find that the new equations developed in this study demonstrated more effective in predicting the sum of permanent canines and premolars in each quadrant to determine the space required on the dentition prediction analysis mixed. Equations Therefore product of this research could be used in the Peruvian population.
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