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Odontometric sex assessment from logistic regression analysis.
Ashith B Acharya1, Sudeendra Prabhu, Mahadevayya V Muddapur
1Department of Forensic Odontology, S.D.M. College of Dental Sciences and Hospital, Sattur, 580009, Dharwad, India. ashithacharya@hotmail.com
International Journal of Legal Medicine
|January 29, 2010
Summary
Logistic regression analysis (LRA) offers superior accuracy for odontometric sex assessment compared to discriminant function analysis (DA). LRA achieved up to 100% correct sex prediction using dental measurements, outperforming DA significantly.
Area of Science:
- Forensic Anthropology
- Odontology
- Statistical Analysis
Background:
- Odontometric sex assessment is a valuable tool in forensic anthropology, complementing skeletal indicators.
- Discriminant function analysis (DA) is commonly used for dental sex prediction, but its efficacy has limitations.
Purpose of the Study:
- To evaluate the effectiveness of logistic regression analysis (LRA) for odontometric sex assessment.
- To compare the performance of LRA against DA in predicting sex from dental measurements.
Main Methods:
- Mesiodistal and buccolingual tooth dimensions were measured on dental casts from 105 young adults.
- Logistic regression analysis (LRA) and discriminant function analysis (DA) were applied to the odontometric data.
- Data integrity was tested by randomly deleting over 25% of tooth variables.
Main Results:
- LRA achieved correct sex allocation rates from 76% to 100%, significantly outperforming DA (52-71%).
- Optimal prediction (100%) was achieved with LRA using all teeth from both jaws.
- LRA maintained high accuracy (∼91%) even with missing data, while DA accuracy dropped to 62.9%.
Conclusions:
- Logistic regression analysis (LRA) is a more accurate and robust method for odontometric sex assessment than discriminant function analysis (DA).
- LRA demonstrates superior performance, particularly with incomplete dentitions, making it preferable for practical forensic casework.
- The study highlights the potential of LRA for reliable sex determination using dental metrics.
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