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从数据到经过验证的基于分数的LR系统:从业者的指南
Anna Jeannette Leegwater1, Peter Vergeer1, Ivo Alberink1
1Netherlands Forensic Institute, PO Box 24044, The Hague 2490 AA, the Netherlands.
Forensic science international
|March 24, 2024
概括
法医科学家可以构建自动化的概率比率 (LR) 系统,以进行一致的证据强度评估. 本指南详细介绍了使用开源Python软件和玻璃数据示例创建验证的LR系统的步骤.
科学领域:
- 法医科学 法医科学 法医科学
- 统计分析 统计分析
- 计算方法 计算方法
背景情况:
- 在法医案例工作中,概率比率 (LR) 对于量化证据的强度至关重要.
- 自动化LR系统提供了一个标准化的方法,在处理类似的案例问题和分析方法时进行一致的评估.
研究的目的:
- 为法医从业人员提供关于构建验证的概率比率 (LR) 系统的实用概述.
- 通过必要的步骤指导用户,从数据准备到系统验证.
主要方法:
- 这篇论文概述了开发LR系统的系统过程,该系统将观察作为输入,并输出LR.
- 附带的笔记本用玻璃证据数据演示了每个步骤.
- 演示使用由荷兰法医研究所 (NFI) 开发的开源Python软件.
主要成果:
- 该研究提出了一个清晰的方法来构建自动化LR系统.
- 提供的示例说明了描述的步骤和软件的实际应用.
结论:
- 构建验证的LR系统是可行的,用于重复性问题和方法的法医案例工作.
- 提出的方法和附带的开源工具使实践者能够开发自己的LR系统.
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