Evaluation of method performance for osteometric sorting of commingled human remains
John E Byrd1, Carrie B LeGarde1
1Laboratory, Defense POW/MIA Accounting Agency, Joint Base Pearl Harbor-Hickam, HI, USA.
Forensic Sciences Research
|February 22, 2019
Summary
Method performance evaluation in osteology is crucial for accurate sorting. This study shows that while false positive rates are initially acceptable, increasing assemblage size elevates false negative rates, impacting method power.
Area of Science:
- Forensic Anthropology
- Bioarchaeology
- Osteology
Background:
- Evaluating the performance of osteometric sorting methods requires considering various error-contributing factors.
- Performance measures can be adapted from signal detection theory and statistical science.
Purpose of the Study:
- To demonstrate performance evaluation principles using multiple measures.
- To apply these measures to osteometric sorting models for paired elements using known individual data.
Main Methods:
- Application of multiple performance measures to osteometric sorting models.
- Testing models against data from known individuals to assess accuracy.
- Analysis of factors such as assemblage size and size disparity.
Main Results:
- False positive rates were observed to be close to expected values on average.
- Increasing assemblage size diminishes the importance of the false positive rate.
- False negative rates become significant with larger assemblages, and size disparity influences performance.
Conclusions:
- Method power is contingent upon case-specific factors, including assemblage size and individual size disparity.
- Understanding these factors is critical for reliable osteometric sorting in forensic and bioarchaeological contexts.
Keywords:
Forensic scienceserrorforensic anthropologymethod performanceosteometric sortingsignal detectionstatisticstest methodMore Related Videos
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