在随机对照试验中,在基线表中自动检测过多和不足分散
1Australian Centre for Health Services Innovation & Centre for Healthcare Transformation, Queensland University of Technology, Kelvin Grove, Queensland, 4059, Australia.
一个自动化的贝叶斯模型有效地选了基线表中的统计异常的随机试验,有助于检测潜在的研究欺诈. 这种方法可以识别低或过度分散,这可以表明伪造的数据.
科学领域:
- 生物统计学 生物统计学
- 临床试验方法论 临床试验方法论
- 研究诚信研究诚信
背景情况:
- 随机试验需要基线表来比较组.
- 欺诈性试验可能会显示出不合理的基线表数据 (低或过度分散).
- 需要自动选工具来检测这种统计异常.
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