.png){kind=icon}
返回
Higher-order evidence
.png){kind=icon}
PRE
AI
DOI：10.1007/s10654-023-01062-9.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Higher-order evidence is evidence about evidence. Epidemiologic examples of higher-order evidence include the settings where the study data constitute first-order evidence and estimates of misclassification comprise the second-order evidence (e.g., sensitivity, specificity) of a binary exposure or outcome collected in the main study. While sampling variability in higher-order evidence is typically acknowledged, higher-order evidence is often assumed to be free of measurement error (e.g., gold standard measures). Here we provide two examples, each with multiple scenarios where second-order evidence is imperfectly measured, and this measurement error can either amplify or attenuate standard corrections to first-order evidence. We propose a way to account for such imperfections that requires third-order evidence. Further illustrations and exploration of how higher-order evidence impacts results of epidemiologic studies is warranted.
Keyword:
Bias
Error
Measurement
Misclassification
Statistics
Validation data
期刊
IF:
5.9
论文数:
3.7K
被引数:
1.6W
机构
引用论文
W1006 Conjoint Analysis of Patient Preferences for 5ASA Maintenance Therapy in Ulcerative Colitis
OAAI
.png){kind=icon}
OAAI分享收藏
查看更多内容