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      Maxillary and mandibular anterior crown width/height ratio and its relation to various arch perimeters, arch length, and arch width groups

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          Abstract

          Objective:

          To investigate the maxillary and mandibular anterior crown width/height ratio and its relation to various arch perimeters, arch length, and arch width (intercanine, interpremolar, and intermolar) groups.

          Materials and Methods:

          The calculated sample size was 128 subjects. The crown width/height, arch length, arch perimeter, and arch width of the maxilla and mandible were obtained via digital calliper (Mitutoyo, Japan). A total of 4325 variables were measured. The sex differences in the crown width and height were evaluated. Analysis of variance was applied to evaluate the differences between arch length, arch perimeter, and arch width groups.

          Results:

          Males had significantly larger mean values for crown width and height than females ( P ≤ 0.05) for maxillary and mandibular arches, both. There were no significant differences observed for the crown width/height ratio in various arch length, arch perimeter, and arch width (intercanine, interpremolar, and intermolar) groups ( P ≤ 0.05) in maxilla and mandible, both.

          Conclusions:

          Our results indicate sexual disparities in the crown width and height. Crown width and height has no significant relation to various arch length, arch perimeter, and arch width groups of maxilla and mandible. Thus, it may be helpful for orthodontic and prosthodontic case investigations and comprehensive management.

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          Most cited references37

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          The analysis of errors in orthodontic measurements.

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          The sources of error in cephalometric measurement and their analyses are discussed. The importance of distinguishing bias and random errors is emphasized, and methods of control are discussed. Randomization of record measurement is one of the most important methods of avoiding bias, but it is rarely undertaken in cephalometric studies. Random errors are particularly important in the evaluation of individual radiographs, and a measurement that has a high error in relation to its total variability will be of little value in clinical assessment. In serial studies of facial change, the error variance is always a major part of the total variance and thus results have to be interpreted with caution. In cross-sectional studies it is not possible to specify exactly the acceptable limits of random errors, because this will depend on the difference between groups that would be of interest and on the number of cases. The judicious replication of measurements can be important in the control of random errors. In many papers, adequate error evaluation and control is lacking. In these circumstances, the results are of limited value because it is not possible to tell whether an apparent effect is the result of bias in measurement or whether a real effect is being obscured by random errors. It is incumbent on authors to consider how their measurement errors should affect the interpretation of results.
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            Power and sample size calculations for studies involving linear regression.

            This article presents methods for sample size and power calculations for studies involving linear regression. These approaches are applicable to clinical trials designed to detect a regression slope of a given magnitude or to studies that test whether the slopes or intercepts of two independent regression lines differ by a given amount. The investigator may either specify the values of the independent (x) variable(s) of the regression line(s) or determine them observationally when the study is performed. In the latter case, the investigator must estimate the standard deviation(s) of the independent variable(s). This study gives examples using this method for both experimental and observational study designs. Cohen's method of power calculations for multiple linear regression models is also discussed and contrasted with the methods of this study. We have posted a computer program to perform these and other sample size calculations on the Internet (see http://www.mc.vanderbilt.edu/prevmed/psintro+ ++.htm). This program can determine the sample size needed to detect a specified alternative hypothesis with the required power, the power with which a specific alternative hypothesis can be detected with a given sample size, or the specific alternative hypotheses that can be detected with a given power and sample size. Context-specific help messages available on request make the use of this software largely self-explanatory.
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                Author and article information

                Journal
                Eur J Dent
                Eur J Dent
                EJD
                European Journal of Dentistry
                Medknow Publications & Media Pvt Ltd (India )
                1305-7456
                1305-7464
                Oct-Dec 2015
                : 9
                : 4
                : 490-499
                Affiliations
                [1 ]Orthodontic Unit, School of Dental Science, Universiti Sains Malaysia, Kelantan, Kubang Kerian, 16150, Malaysia
                [2 ]Forensic Dentistry Unit, School of Dental Science, Universiti Sains Malaysia, Kelantan, Kubang Kerian, 16150, Malaysia
                Author notes
                Correspondence: Dr. Mohammad Khursheed Alam Email: dralam@ 123456gmail.com
                Article
                EJD-9-490
                10.4103/1305-7456.172620
                4745229
                26929686
                229439c0-e876-4798-a138-03b64eeee99e
                Copyright: © European Journal of Dentistry

                This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

                History
                Categories
                Original Article

                Dentistry
                arch length,arch perimeter,arch width,crown height,crown width/height ratio,crown width
                Dentistry
                arch length, arch perimeter, arch width, crown height, crown width/height ratio, crown width

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