一目了然地捕捉药物使用模式:对于重复的单变类型值,一个n-ary词足够的统计数据
Gabriel J Odom1, Laura Brandt2, Clinton Castro3
1Department of Biostatistics, Florida International University, Miami, FL, United States of America.
PloS one
|September 8, 2023
概括
在药物使用障碍 (SUD) 临床试验中标准化尿液药物查 (UDS) 数据对于可重现的结果至关重要. 一个新的"word"格式和R包CTNote允许一致的结果评估和数据分析.
科学领域:
- 临床心理学 临床心理学
- 精神病学是一个精神病学.
- 数据科学数据科学数据科学
背景情况:
- 药物使用障碍 (SUD) 临床试验在很大程度上依赖于尿液药物查 (UDS) 来评估结果.
- 目前分析UDS数据的方法缺乏标准化,这阻碍了研究的可比性和结果的可重现性.
研究的目的:
- 开发一种标准化的方法来表示和分析SUD临床试验中的纵向UDS数据.
- 引入一种新的数据结构和软件工具,用于一致的治疗结果评估.
主要方法:
- 扩展二进制UDS变量到多类系统:正 (+),负 (-),错过 (o),不确定的 (*),不需要 (_).
- 开发了R软件包CTNote来解析这些标准化的UDS数据"词"并分析物质使用模式.
- 在CTNote中创建算法,以根据检测到的模式和试验协议来定义临床试验终点.
主要成果:
- "词"构造提供了对纵向UDS数据的紧,信息保存的摘要.
- CTNote 能够自动解析和分析 UDS 数据,方便"一目了然"地评估治疗反应.
- 通过定义三个开创性的SUD临床试验的初级终点来证明CTNote的应用.
结论:
- 拟议的"word"格式和CTNote软件为SUD试验中的UDS数据分析提供了一种标准化的方法.
- 这种标准化提高了现场研究结果的可比性和可重复性.
- 该方法提供机器可读的摘要,以便在未来的研究中有效和一致地计算治疗结果.
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