This article presents research into utilizing compound likelihood ratios when analyzing forensic DNA mixtures.
Simple propositions are defined as those with one POI and the remaining contributors unknown under Hp and all unknown contributors under Ha. Conditional propositions are defined as those with one POI, one or more assumed contributors, and the remaining contributors (if any) unknown under Hp, and the assumed contributor(s) and N unknown contributors under Ha. In this study, compound propositions are those with multiple POI and the remaining contributors unknown under Hp and all unknown contributors under Ha. The authors study the performance of these three proposition sets on thirty-two samples (two laboratories × four NOCs × four mixtures) consisting of four mixtures, each with N = 2, N = 3, N = 4, and N = 5 contributors using the probabilistic genotyping software, STRmix™. In this study, it was found that conditional propositions have a much higher ability to differentiate true from false donors than simple propositions. Compound propositions can misstate the weight of evidence given the propositions strongly in either direction. (Published Abstract Provided)
Downloads
Similar Publications
- Proactive monitoring and operator discretion: A systematic social observation of CCTV control room operations
- Occupational Stress Associated With Technological Diversion Among Pretrial Services Officers: A Qualitative Case Study of GPS Supervision for Intimate Partner and Domestic Violence Cases
- Race-based Bullying Victimization and Adjustment Difficulties: Racial-Ethnic Differences in the Protective Role of School Equity