Maturation dentaire : constitution de tables

Proy, Elisabeth; Gautier, Nicole

doi:10.1051/odf/1985036

Cited by 13 publications

(5 citation statements)

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“…Development of Indian weighted scores would also mandate the use of a larger sample, analogous to the original study (1) and its modifications (12,17). An alternative to the calculation of weighted scores is the use of correspondence analysis (22), which is applicable to categorical data such as the one used in Demirjian’s grading of dental development. It is also recognized that regression analysis itself may not be the ideal statistical approach for evaluating Demirjian’s method—Bayesian prediction has been advocated as a better alternative for assessing categorical data (23).…”

Section: Discussionmentioning

confidence: 99%

Age Estimation in Indians Using Demirjian’s 8-teeth Method

Acharya

2010

Journal of Forensic Sciences

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Demirjian's grading of tooth calcification is widely used to assess age of individuals with developing dentitions. However, its application on numerous populations has resulted in wide variations in age estimates and consequent suggestions for the method's adaptation to the local sample. Conventionally, Demirjian's method utilized seven mandibular teeth on the left side. A recent modification incorporated the third molar with a view to apply the method on a wider age-group. Moreover, the revised method developed regression formulas for assessing age. This paper tested the 8-teeth method using 547 Indians (348 females, 199 males) aged 7-25 years. Demirjian's formulas resulted in inferior age prediction in Indians (9.2% misclassification at 99% confidence interval vs. 0% misclassification in the original study); therefore, India-specific regression formulas were developed, which gave better age estimates (mean absolute error, MAE=0.87 years) than the original formulas (MAE=1.29 years). This suggests that Demirjian's 8-teeth method also needs adaptation prior to use in diverse populations.

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Section: Discussionmentioning

confidence: 99%

Age Estimation in Indians Using Demirjian’s 8-teeth Method

Acharya

2010

Journal of Forensic Sciences

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“…However, some scholars consider that this mathematical model is not satisfactory because it gives significantly higher weights to advanced stages of maturation (Proy and Gauthier 1985). -The tables of standards can be obtained by using the linear regression analysis (e.g., Koshy and Tandon 1998) or centile distributions (Demirjian et al 1973) to derive the relationship between the GMI and chronological age.…”

Section: Dental Age Calculation Methodsmentioning

confidence: 99%

“…To do so, the mathematical model proposed by Healy and Goldstein (1976) and advocated by Tanner et al (1975), was used by Demirjian et al (1973). This model is considered as highly suspect by Proy and Gauthier (1985) because of its over-weighting of advanced stages of maturation. Therefore Proy and Gauthier (1985) recommended the use of correspondence analysis, a multivariate analysis procedure applicable only to categorical features without any other limitation (Greenacre 1993).…”

Section: The Car Methodsmentioning

confidence: 99%

“…This model is considered as highly suspect by Proy and Gauthier (1985) because of its over-weighting of advanced stages of maturation. Therefore Proy and Gauthier (1985) recommended the use of correspondence analysis, a multivariate analysis procedure applicable only to categorical features without any other limitation (Greenacre 1993). The important points to know about this procedure are that (i) it shows the patterns of relationships among many categorical variables, (ii) it plots the relationships between these multiple variables on a smaller number of dimensions according to variance explained, and (iii) the distance between variables on each dimension is standardised (i.e., items that are close together are likely to be related).…”

Section: The Car Methodsmentioning

confidence: 99%

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Non-adult dental age assessment: correspondence analysis and linear regression versus Bayesian predictions

et al. 2004

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This study focuses on the evaluation of factors influencing the quality (accuracy and reliability) of non-adult dental age assessment from radiographic stages of permanent teeth (excluding the third molar). We used four distinct cross-sectional samples of 1,528 healthy children: 3 of known geographic origin (Ivory Coast, Iran and France) and 1 additional sample of children whose grandparents originated from a different continent. Two different methods of calculations are compared: the correspondence analysis combined with linear regression (CAR) and Bayesian predictions (with no independence assumption). Our results indicate that the quality of age assessment does not seem to depend predominantly on the use of geographic-specific standards. In the case of Bayesian predictions, we observed a clear trend in favour of significantly higher accuracy and reliability levels when using non-geographic-specific standards. One of the main advantage of Bayesian predictions over maximum likelihood methods of estimation is an overall increase in accuracy with high levels of reliability on a fraction of the test sample and, importantly, across all age categories (contrary to methods based on regression analysis). Importantly, in the case of Bayesian non-adult predictions, and contrary to age estimation techniques based on regression, a better quality does not depend on age.

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“…X-ray samples of living children (e.g. Gleiser and Hunt, 1955;Garn et al, 1958;Nolla, 1960;Fanning, 1961;Moorrees et al, 1963a,b;Liliequist and Lundberg, 1971;Demirjian et al, 1973;Anderson et al, 1976;Proy and Gautier, 1985;Teivens and Mornstad, 2001;Chaillet and Demirjian, 2004). Before its application in archaeological or forensic contexts, such methods should be validated using dental remains of skeletons of known age in order to test its accuracy and reliability (i.e.…”

Section: Introductionmentioning

confidence: 98%